lt-asset/selp

For our ICRA 2025 paper 🏆 "SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models" by Yi Wu, Zikang Xiong, Yiran Hu, Shreyash Iyengar, Nan Jiang, Aniket Bera, Lin Tan, and Suresh Jagannathan. (🏆 Best Paper Award Finalist!)

24
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Experimental

This project helps robotics engineers and researchers create safer and more efficient operational plans for robot agents. It takes high-level goals or desired tasks and generates detailed, step-by-step instructions that ensure the robot avoids hazards while completing its work. This is designed for anyone deploying or researching autonomous robots in practical environments.

No commits in the last 6 months.

Use this if you need to reliably generate task plans for robot agents that prioritize both safety and efficiency, especially when dealing with complex or uncertain environments.

Not ideal if you are looking for a tool to design robot hardware or to develop low-level robot control algorithms.

robotics autonomous-systems task-planning robot-safety robot-efficiency
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 0 / 25

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18

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License

BSD-3-Clause

Last pushed

Jul 02, 2025

Commits (30d)

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