5 accepted papers
Current approaches for training Process Reward Models (PRMs) often involve deconposing responses into multiple reasoning steps using rule-based techniques, such as using predefined placeholder tokens or setting the reasoning step's length to a fixed size. These approaches overlook the fact that cert…
Achieving efficient cooperative exploration with multiple Unmanned Aerial Vehicles (UAV) is challenging due to the conflict between the requirement for map sharing among UAVs and the limited onboard communication resources. In this letter, we propose PC-Explorer, a decentralized cooperative explorat
In this work, we propose a learning-based one-stage planner for trajectory generation of quadrotor in obstacle-cluttered environment without relying on explicit map. We integrate perception and mapping, front-end path searching, and back-end optimization into a single network. We frame the motion pl
In this work, we propose a reaction-based local planner for autonomous collision avoidance of quadrotor in obstacle-cluttered environment without relying on an explicit map. Our approach searches for feasible trajectory using a set of motion primitives in state lattice and represents the optimal one
Coverage path planning is a major application for mobile robots, which requires robots to move along a planned path to cover the entire map. For large-scale tasks, multirobot systems offer significant advantages. In this letter, we propose Turn-minimizing Multirobot Spanning Tree Coverage Star (TMST