MotIF: Motion Instruction Fine-Tuning

While success in many robotics tasks can be determined by only observing the final state and how it differs from the initial state - e.g., if an apple is picked up - many tasks require observing the full motion of the robot to correctly determine success. For example, brushing hair requires repeated...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 10; H. 3; S. 2287 - 2294
Hauptverfasser:	Hwang, Minyoung, Hejna, Joey, Sadigh, Dorsa, Bisk, Yonatan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	data sets for robot learning Descriptions Detectors Frames (data processing) Grounding Human motion Image analysis Intention recognition Optical flow Representations Robot dynamics Robot learning Robot motion Robotics Robots semantic scene understanding Semantics Success Tracking Trajectories Trajectory Visualization
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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