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Paper Citation Record · LEDGER

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model

As of 11 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2511.12795.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.12795 v2

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measured 73 of 73 reference resolution

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measured 73 of 73 standing notices

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measured 0 of 0 inbound itemization

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73 of 73 outbound references displayed

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Outbound references

Observation 63632838-be94-4b5d-b2e2-e513764b37a8 · outbound

This paper cites Ac- tive vision for dexterous grasping of novel objects.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Ac- tive vision for dexterous grasping of novel objects

Reference 1

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Observation e7edb75e-3a7d-42ce-8fc6-9aa794c623e3 · outbound

This paper cites Active perception.Proceedings of the IEEE, 76(8):966–1005, 1988.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Active perception.Proceedings of the IEEE, 76(8):966–1005, 1988

Reference 2

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Observation a3686ee1-7b4c-4dc6-bbdd-4ba9ab6798b1 · outbound

This paper cites Re- visiting active perception.Autonomous Robots, 42:177–196,.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Re- visiting active perception.Autonomous Robots, 42:177–196,

Reference 3

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Observation 6c13ceef-7907-43bc-a44d-19a4df57f734 · outbound

This paper cites V olumetric grasping network: Real-time 6 dof grasp detection in clutter.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model V olumetric grasping network: Real-time 6 dof grasp detection in clutter

Reference 4

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Observation 01e8e89d-3aee-4429-92f5-e924d1628bea · outbound

This paper cites Closed-loop next-best-view planning for target- driven grasping.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Closed-loop next-best-view planning for target- driven grasping

Reference 5

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Observation d10a2885-c56a-43f0-a58e-1b2062b411e7 · outbound

This paper cites Real-time collision-free grasp pose detection with geometry-aware refinement using high-resolution volume.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Real-time collision-free grasp pose detection with geometry-aware refinement using high-resolution volume

Reference 6

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Observation d36fe10b-e657-400f-8a2a-928749e35cdc · outbound

This paper cites an unresolved cited work.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

Reference 7

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Observation f023a000-9c47-463c-9381-8d1ff2330ade · outbound

This paper cites Learning to ex- plore using active neural slam.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Learning to ex- plore using active neural slam

Reference 8

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Observation 63d052bc-6e85-4917-9412-61ca8bb528ba · outbound

This paper cites an unresolved cited work.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

Reference 9

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Observation fdf60c22-92ad-4944-b551-a149aa289b8d · outbound

This paper cites Transferable active grasp- ing and real embodied dataset.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Transferable active grasp- ing and real embodied dataset

Reference 10

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Observation 4eec2f73-5663-4dfd-bc28-c441fa6ee9ae · outbound

This paper cites an unresolved cited work.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

Reference 11

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Observation 88f09a44-a526-40a5-8590-8340f7bd80c0 · outbound

This paper cites Pybullet, a python mod- ule for physics simulation for games, robotics and machine learning.http://pybullet.org, 2016–2021.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Pybullet, a python mod- ule for physics simulation for games, robotics and machine learning.http://pybullet.org, 2016–2021

Reference 12

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Observation fd136e8a-1717-4025-96b6-2c87a0e33ec2 · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

Reference 13

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Observation db6d566e-0004-4806-bafe-8e35e6a52a5a · outbound

This paper cites Pred-nbv: Prediction-guided next-best-view planning for 3d object reconstruction.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Pred-nbv: Prediction-guided next-best-view planning for 3d object reconstruction

Reference 14

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Observation 46c56d52-66b7-46b5-8654-24c3f8e97e2f · outbound

This paper cites ACRONYM: A large-scale grasp dataset based on simula- tion.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model ACRONYM: A large-scale grasp dataset based on simula- tion

Reference 15

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Observation fdf8beea-7f92-4baf-8c4d-0fa59931f277 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 16

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Observation 2bf599ff-0df6-40a3-b355-62fa0521383c · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spa- tial and temporal domains.IEEE Trans.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Anygrasp: Robust and efficient grasp perception in spa- tial and temporal domains.IEEE Trans

Reference 17

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Observation 05ef473f-c252-498b-a5af-ce155e58e55a · outbound

This paper cites Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, and Xiaoxiang Zhu.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, and Xiaoxiang Zhu

Reference 18

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Observation 8c62a7df-a99f-47b2-ac93-becbf07a763e · outbound

This paper cites Uncertainty-driven planner for exploration and navigation.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Uncertainty-driven planner for exploration and navigation

Reference 19

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Observation 00cb1924-d9b1-4186-9dd3-71be953b354b · outbound

This paper cites Bayes’ Rays: Uncertainty quantifica- tion in neural radiance fields.arXiv, 2023.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Bayes’ Rays: Uncertainty quantifica- tion in neural radiance fields.arXiv, 2023

Reference 20

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Observation 3c6d7ad9-5544-40e2-b3e5-cc74ef12f918 · outbound

This paper cites Your classifier is secretly an energy based model and you should treat it like one.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Your classifier is secretly an energy based model and you should treat it like one

Reference 21

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Observation 0203904a-0bbc-4fbf-8b17-8637ebeac14b · outbound

This paper cites Viewpoint selection for grasp detection.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Viewpoint selection for grasp detection

Reference 22

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Observation e218ea3a-cfba-4dda-aac2-5ec5ccea54ea · outbound

This paper cites High precision grasp pose detection in dense clutter.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model High precision grasp pose detection in dense clutter

Reference 23

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Observation 73473a77-0618-4eb1-936f-1667e2d95df6 · outbound

This paper cites Scone: Surface coverage optimization in unknown environ- ments by volumetric integration.Advances in Neural Infor- mation Processing Systems, 35:20731–20743, 2022.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Scone: Surface coverage optimization in unknown environ- ments by volumetric integration.Advances in Neural Infor- mation Processing Systems, 35:20731–20743, 2022

Reference 24

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Observation d85852f5-b162-47a1-88ed-1ff33f90d386 · outbound

This paper cites Macarons: Mapping and coverage anticipa- tion with rgb online self-supervision.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Macarons: Mapping and coverage anticipa- tion with rgb online self-supervision

Reference 25

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Observation 64a87da9-af2b-4eff-ae2c-79a39d717c01 · outbound

This paper cites Weinberger.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Weinberger

Reference 26

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Observation 6378b48e-e164-4685-914b-21b7cb1f6c4e · outbound

This paper cites Orbitgrasp: Se(3)-equivariant grasp learning.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Orbitgrasp: Se(3)-equivariant grasp learning

Reference 27

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This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 28

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This paper cites Maddox, Polina Kirichenko, Timur Garipov, Dmitry P.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Maddox, Polina Kirichenko, Timur Garipov, Dmitry P

Reference 29

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Observation cfc008b8-2d9a-4970-96ba-bd588d14c15f · outbound

This paper cites Fisherrf: Ac- tive view selection and mapping with radiance fields using fisher information.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Fisherrf: Ac- tive view selection and mapping with radiance fields using fisher information

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Observation 86700415-f02d-489d-a8fe-628ddc5bca7f · outbound

This paper cites Multimodal llm guided exploration and active map- ping using fisher information.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Multimodal llm guided exploration and active map- ping using fisher information

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This paper cites Neu-nbv: Next best view planning using uncer- tainty estimation in image-based neural rendering.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Neu-nbv: Next best view planning using uncer- tainty estimation in image-based neural rendering

Reference 32

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

Reference 33

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This paper cites Bopar- dikar, Julian Ryde, Kenneth Y.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Bopar- dikar, Julian Ryde, Kenneth Y

Reference 34

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This paper cites Spherical fibonacci mapping.ACM Trans.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Spherical fibonacci mapping.ACM Trans

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This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023

Reference 36

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Observation 0d4fb2de-b8c0-471a-bed9-d3a3534fe9a3 · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unifying approaches in ac- tive learning and active sampling via fisher information and information-theoretic quantities.Transactions on Machine Learning Research, 2022

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model A survey on learning-based robotic grasp- ing.Current Robotics Reports, 1:239–249, 2020

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model A tutorial on energy-based learning.Predicting structured data, 1(0), 2006

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Eval- uating and calibrating uncertainty prediction in regression tasks.Sensors, 22(15):5540, 2022

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Learning hand-eye coordination for robotic grasping with deep learning and large-scale data col- lection.Int

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Observation b0536790-ab74-4d82-bd2e-cc65c63a7b2a · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Active perception for grasp detection via neural graspness field

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Observation 62372bd0-aa44-49b5-9bfc-83e3adbf0faf · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics

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Observation de0690ea-e711-4283-b7f0-8cc11e0d3d0e · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Wells III, Clare M

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Observation 091f61bd-62c8-444e-9ea8-5c3755541ec8 · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Multi- view picking: Next-best-view reaching for improved grasp- ing in clutter

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Observation 90068abd-f26c-4c61-aeaf-8d0d700541ad · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Ac- tivenerf: Learning where to see with uncertainty estimation

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Observation f1572716-855f-40a3-88b1-77aed0e61fc7 · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

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Observation 7e936ef2-1ad5-4743-8e88-63594c2eef6d · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Supersizing self- supervision: Learning to grasp from 50k tries and 700 robot hours

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Observation bbf724e3-399d-4379-8025-76d792ea96c5 · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Grasp learning: Models, methods, and per- formance.Annual Review of Control, Robotics, and Au- tonomous Systems, 6(1):363–389, 2023

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Observation f1b5c2d9-9aa5-4eca-84af-1dcd5468dbf1 · outbound

This paper cites an unresolved cited work.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

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Observation 4973cdaa-193e-4231-82ca-71d665e01a6f · outbound

This paper cites Occupancy anticipation for efficient exploration and navigation.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Occupancy anticipation for efficient exploration and navigation

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Observation 420b8e90-05c7-49bd-bacc-8efc5ae81e66 · outbound

This paper cites Neurar: Neural uncertainty for autonomous 3d reconstruction with implicit neural representations.IEEE Robotics and Automation Let- ters, 8(2):1125–1132, 2023.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Neurar: Neural uncertainty for autonomous 3d reconstruction with implicit neural representations.IEEE Robotics and Automation Let- ters, 8(2):1125–1132, 2023

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Observation 62f3e41d-9949-47b1-af6a-2922f55660f6 · outbound

This paper cites SAM 2: Segment anything in images and videos.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model SAM 2: Segment anything in images and videos

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Observation 8bb1f5e2-6da9-4474-8aeb-1a1340b60f6a · outbound

This paper cites Real-time grasp de- tection using convolutional neural networks.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Real-time grasp de- tection using convolutional neural networks

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Observation 21a4e87a-2001-49a2-8474-d4c502e354eb · outbound

This paper cites Rezende, and C´esar Roberto de Souza.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Rezende, and C´esar Roberto de Souza

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Observation 98067900-a3b6-49b3-8a8f-d8e484232b0e · outbound

This paper cites Learn- ing for single-shot confidence calibration in deep neural net- works through stochastic inferences.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Learn- ing for single-shot confidence calibration in deep neural net- works through stochastic inferences

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Observation 5f519958-da82-45dc-b314-a92beaf89a9b · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Generative modeling by estimating gradients of the data distribution

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Observation 5b6d0627-71b8-4621-ac71-af4daf17061f · outbound

This paper cites Contact-graspnet: Efficient 6-dof grasp gen- eration in cluttered scenes.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Contact-graspnet: Efficient 6-dof grasp gen- eration in cluttered scenes

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Observation cf8d1d1d-82e4-45dd-8d1d-7cbd6fffa599 · outbound

This paper cites Rethinking the in- ception architecture for computer vision.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Rethinking the in- ception architecture for computer vision

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Observation 8d97b11b-efeb-4d66-9749-cae4f672528d · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Grasp pose detection in point clouds.The International Journal of Robotics Research, 36(13-14):1455–1473, 2017

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Observation 777b758a-aebf-4adf-b72b-2b8825e5a3d3 · outbound

This paper cites Se(3)-diffusionfields: Learning smooth cost func- tions for joint grasp and motion optimization through diffu- sion.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Se(3)-diffusionfields: Learning smooth cost func- tions for joint grasp and motion optimization through diffu- sion

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Observation c6e101ce-51c2-48a4-b726-92fdbd9a5a09 · outbound

This paper cites Graspness Discovery in Clutters for Fast and Accurate Grasp Detection.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Graspness Discovery in Clutters for Fast and Accurate Grasp Detection

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Observation cbbbdb69-5247-42ae-95a1-ad88579c38a3 · outbound

This paper cites GPR: grasp pose refine- ment network for cluttered scenes.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model GPR: grasp pose refine- ment network for cluttered scenes

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Observation 1ec0daf8-beda-4560-9562-05308b27f4e0 · outbound

This paper cites Capgrasp: An $\mathbb{R}ˆ{3}\times\text{SO(2)- Equivariant}$ continuous approach-constrained generative grasp sampler.IEEE Robotics Autom.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Capgrasp: An $\mathbb{R}ˆ{3}\times\text{SO(2)- Equivariant}$ continuous approach-constrained generative grasp sampler.IEEE Robotics Autom

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Observation 4d8ed1c2-6f68-4fae-816a-ced980c9922b · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Non-parametric calibration for classification

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Observation c3833e62-f9c3-475a-85fd-6cf5fd8d4bf3 · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Active neural mapping

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Observation ed398476-cc3f-49b5-8a5a-0a8ed891bb9e · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Robotic Grasping from Classical to Modern: A Survey

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Observation 024de264-b62e-486a-a10a-9910d975c81e · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Affordance-driven next-best- view planning for robotic grasping

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Observation 695fe2f7-b016-4bb8-ba98-eac541f25f61 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Open3D: A Modern Library for 3D Data Processing

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Observation 10e815d5-ffcc-471a-a990-ca253d8b0e28 · outbound

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ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Unresolved cited work

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Pith citing papers

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