most citedPlanning with Sequence Models through Iterative Energy Minimization

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Multi-gait Locomotion Planning and Tracking for Tendon-actuated Terrestrial Soft Robot (TerreSoRo)

Arun Niddish Mahendran, Caitlin Freeman, Alexander H. Chang +3

The adaptability of soft robots makes them ideal candidates to maneuver through unstructured environments. However, locomotion challenges arise due to complexities in modeling the…

cs.LG20234 cited

Planning with Sequence Models through Iterative Energy Minimization

Hongyi Chen, Yilun Du, Yiye Chen +2

Recent works have shown that sequence modeling can be effectively used to train reinforcement learning (RL) policies. However, the success of applying existing sequence models to p…

cs.RO2023

Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments

Hongyi Chen, Shiyu Feng, Ye Zhao +2

This paper describes a hierarchical solution consisting of a multi-phase planner and a low-level safe controller to jointly solve the safe navigation problem in crowded, dynamic, a…

cs.RO20232 cited

Safer Gap: A Gap-based Local Planner for Safe Navigation with Nonholonomic Mobile Robots

Shiyu Feng, Ahmad Abuaish, Patricio A. Vela

This paper extends the gap-based navigation technique in Potential Gap by guaranteeing safety for nonholonomic robots for all tiers of the local planner hierarchy, so called Safer…

cs.RO20231 cited

Zero-Shot Object Searching Using Large-scale Object Relationship Prior

Hongyi Chen, Ruinian Xu, Shuo Cheng +2

Home-assistant robots have been a long-standing research topic, and one of the biggest challenges is searching for required objects in housing environments. Previous object-goal na…