3 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
Minimally-intrusive Navigation in Dense Crowds with Integrated Macro and Micro-level Dynamics
Tong Zhou, Senmao Qi, Guangdu Cen +4
In mobile robot navigation, despite advancements, the generation of optimal paths often disrupts pedestrian areas. To tackle this, we propose three key contributions to improve hum…
Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree Search
Tong Zhou, Erli Lyu, Jiaole Wang +4
Autonomous driving holds promise for increased safety, optimized traffic management, and a new level of convenience in transportation. While model-based reinforcement learning appr…
Search-Based Online Trajectory Planning for Car-like Robots in Highly Dynamic Environments
Jiahui Lin, Tong Zhou, Delong Zhu +2
This paper presents a search-based partial motion planner to generate dynamically feasible trajectories for car-like robots in highly dynamic environments. The planner searches for…
Online State-Time Trajectory Planning Using Timed-ESDF in Highly Dynamic Environments
Delong Zhu, Tong Zhou, Jiahui Lin +2
Online state-time trajectory planning in highly dynamic environments remains an unsolved problem due to the unpredictable motions of moving obstacles and the curse of dimensionalit…