6 citations · 6 across the 3 of their papers we have counts for
5 papers
PushAround: Collaborative Path Clearing via Physics-Informed Hybrid Search
Zili Tang, Zongyuan Li, Zishao Qiao +1
Large vehicles in cluttered environments are often blocked by movable obstacles, motivating mobile robot teams to clear traversable corridors. Navigation Among Movable Obstacles (N…
FlexWorm: Primitive-augmented Hybrid Contact-motion Planning for Suction-based Multi-segment Deformable Robots
Zili Tang, Tiecheng Guo, Qinyue Zhang +1
Multi-segment suction-based soft robots are promising for inspection and maintenance in confined or fragile environments, but existing approaches still depend heavily on manually d…
PushingBots: Collaborative Pushing via Neural Accelerated Combinatorial Hybrid Optimization
Zili Tang, Ying Zhang, Meng Guo
Many robots are not equipped with a manipulator and many objects are not suitable for prehensile manipulation (such as large boxes and cylinders). In these cases, pushing is a simp…
Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes
Zili Tang, Yuming Feng, Meng Guo
Pushing is a simple yet effective skill for robots to interact with and further change the environment. Related work has been mostly focused on utilizing it as a non-prehensile man…
Combinatorial-hybrid Optimization for Multi-agent Systems under Collaborative Tasks
Zili Tang, Junfeng Chen, Meng Guo
Multi-agent systems can be extremely efficient when working concurrently and collaboratively, e.g., for transportation, maintenance, search and rescue. Coordination of such teams o…