ReKep encodes robotic tasks as optimizable Python functions over 3D keypoints that are generated automatically from language and RGB-D input, enabling real-time hierarchical planning on single- and dual-arm platforms without task-specific data.
nvblox: Gpu-accelerated incremental signed distance field mapping
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A VR shared control system for aerial robot teams integrates operator input via migration points and an admittance controller with autonomous motion-primitive planning to improve navigation in constrained unknown spaces.
citing papers explorer
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ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
ReKep encodes robotic tasks as optimizable Python functions over 3D keypoints that are generated automatically from language and RGB-D input, enabling real-time hierarchical planning on single- and dual-arm platforms without task-specific data.
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Flying Together: Human-Guided Immersive Shared Control for Aerial Robot Teams in Unknown Environments
A VR shared control system for aerial robot teams integrates operator input via migration points and an admittance controller with autonomous motion-primitive planning to improve navigation in constrained unknown spaces.