Paper Citation Record · LEDGER

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

As of 23 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 6 inbound Pith citation observations for arXiv:2501.02902.

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

pith.paper-citation-record.v1
2501.02902 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:29.152154Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:00:39.127294Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T22:09:00.032890Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy20
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29f9d6f2-4848-4f1d-9f85-d6b491709fcc · outbound

This paper cites Rloc: Terrain-aware legged locomotion using reinforcement learning and optimal control,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Rloc: Terrain-aware legged locomotion using reinforcement learning and optimal control,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.481646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfc23300-0158-4196-bb0b-0ba323724be2 · outbound

This paper cites Learning robust autonomous navigation and locomotion for wheeled-legged robots,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Learning robust autonomous navigation and locomotion for wheeled-legged robots,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.466634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1c20cfb-3dc4-49f2-adf7-59a7ff56520d · outbound

This paper cites Reaching the limit in autonomous racing: Op- timal control versus reinforcement learning,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Reaching the limit in autonomous racing: Op- timal control versus reinforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.451602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e330a644-5447-4f44-b0fc-e017cc913f3c · outbound

This paper cites Real-world humanoid locomotion with reinforcement learning,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Real-world humanoid locomotion with reinforcement learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.436368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2954d64-85bb-4dc8-8be9-04aeb6a8ad7b · outbound

This paper cites Towards rl-based hydraulic exca- vator automation,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Towards rl-based hydraulic exca- vator automation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.420171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6e1c345-b13f-471d-8440-3e874dd1fbef · outbound

This paper cites A sur- vey on deep reinforcement learning algorithms for robotic manipulation,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots A sur- vey on deep reinforcement learning algorithms for robotic manipulation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.404848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7f588d84-94fa-4a50-bc32-ba46d9d2bbbc · outbound

This paper cites Rapid locomotion via reinforcement learn- ing,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Rapid locomotion via reinforcement learn- ing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.390213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6cde70e3-2972-46f7-a75b-e3a2b4772df7 · outbound

This paper cites Safe reinforcement learning for legged locomotion,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Safe reinforcement learning for legged locomotion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.376281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b474cd9a-e548-41cb-b3e9-2026467566e9 · outbound

This paper cites Orbit: A uni- fied simulation framework for interactive robot learning environments,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Orbit: A uni- fied simulation framework for interactive robot learning environments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.362309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d20e95d5-1e1f-4bfb-96d0-15796c922c24 · outbound

This paper cites Less is more: Robust robot learning via partially observ- able multi-agent reinforcement learning,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Less is more: Robust robot learning via partially observ- able multi-agent reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.347080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c49b17a-dce4-42f9-8f8f-565d38840a37 · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Sim-to-real transfer in deep reinforcement learning for robotics: a survey,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.332198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa2a559d-ef8d-4c40-af13-d22cf8c20e6e · outbound

This paper cites Survey of deep reinforcement learning for mo- tion planning of autonomous vehicles,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Survey of deep reinforcement learning for mo- tion planning of autonomous vehicles,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.316812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96c86cde-0bc3-4bb6-bc88-7197d65e7d17 · outbound

This paper cites Reinforcement learning- based dynamic obstacle avoidance and integration of path planning,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Reinforcement learning- based dynamic obstacle avoidance and integration of path planning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.301518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d396083-eacf-42d3-9013-a5ac71fef312 · outbound

This paper cites Navigation of mobile robots based on deep reinforcement learning: Reward function optimization and knowledge transfer,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Navigation of mobile robots based on deep reinforcement learning: Reward function optimization and knowledge transfer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.286363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation febe21da-1fc8-444b-a472-34686e940d38 · outbound

This paper cites Deep reinforcement learning for real autonomous mobile robot navigation in indoor environ- ments,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Deep reinforcement learning for real autonomous mobile robot navigation in indoor environ- ments,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.270049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 59588924-8aac-4c72-ae44-6d5ed3e396fc · outbound

This paper cites Deep reinforcement learning for indoor mobile robot path planning,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Deep reinforcement learning for indoor mobile robot path planning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.252413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be512692-a3d6-487c-bdc6-fc9224de2357 · outbound

This paper cites Deep reinforcement learning based robot navigation in dynamic environments using occupancy values of motion primitives,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Deep reinforcement learning based robot navigation in dynamic environments using occupancy values of motion primitives,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.236503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 317fedb9-1174-46e4-8e98-a41b233e5753 · outbound

This paper cites Champion-level drone racing using deep reinforcement learning,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Champion-level drone racing using deep reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.220156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f38f6c48-b8d8-41e6-9569-679f5d9cce97 · outbound

This paper cites Reinforcement learn- ing for navigation of mobile robot with lidar,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots Reinforcement learn- ing for navigation of mobile robot with lidar,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.204564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be9b68e4-7751-412c-a29e-4925a760228a · outbound

This paper cites From the desks of ros maintainers: A sur- vey of modern & capable mobile robotics algorithms in the robot operating system 2,.

Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots From the desks of ros maintainers: A sur- vey of modern & capable mobile robotics algorithms in the robot operating system 2,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:05:29.188979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 5ecff8b8-ea98-4e5e-8f21-8d10a2f73469 · inbound

Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics cites this paper.

Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T13:00:39.127294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707d7323-3cd5-4761-b879-826424c1b926 · inbound

Towards Humanoid Robot Autonomy: A Dynamic Architecture Integrating Continuous thought Machines (CTM) and Model Context Protocol (MCP) cites this paper.

Towards Humanoid Robot Autonomy: A Dynamic Architecture Integrating Continuous thought Machines (CTM) and Model Context Protocol (MCP) Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:14.986810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e88915-3fd9-4a61-b746-ddbc66a377f5 · inbound

Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints cites this paper.

Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T17:45:24.585089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8185f44-023a-45fd-962a-be5f75c66696 · inbound

NavOL: Navigation Policy with Online Imitation Learning cites this paper.

NavOL: Navigation Policy with Online Imitation Learning Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:21.903579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a8bfdba-177b-49a8-8bab-a17f1f5ce8e8 · inbound

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics cites this paper.

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:29.283721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a42d45aa-e5d0-4e74-a5c7-bc2a04030550 · inbound

AI Sandboxes: A Threat Model, Taxonomy, and Measurement Framework cites this paper.

AI Sandboxes: A Threat Model, Taxonomy, and Measurement Framework Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-07-03T22:09:00.035397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.