6 papers
A Mobile Magnetic Manipulation Platform for Gastrointestinal Navigation with Deep Reinforcement Learning Control
Zhifan Yan, Chang Liu, Yiyang Jiang +3
Targeted drug delivery in the gastrointestinal (GI) tract using magnetic robots offers a promising alternative to systemic treatments. However, controlling these robots is a major…
VLingNav: Embodied Navigation with Adaptive Reasoning and Visual-Assisted Linguistic Memory
Shaoan Wang, Yuanfei Luo, Xingyu Chen +6
VLA models have shown promising potential in embodied navigation by unifying perception and planning while inheriting the strong generalization abilities of large VLMs. However, mo…
CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM
Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo +9
Recent Vision-Language Models (VLMs) have demonstrated significant potential in robotic planning. However, they typically function as semantic reasoners, lacking an intrinsic under…
SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer
Kang Ding, Chunxuan Jiao, Yunze Hu +4
Swarm robotic trajectory planning faces challenges in computational efficiency, scalability, and safety, particularly in complex, obstacle-dense environments. To address these issu…
Path-Tracking Hybrid A* and Hierarchical MPC Framework for Autonomous Agricultural Vehicles
Mingke Lu, Han Gao, Haijie Dai +2
We propose a Path-Tracking Hybrid A* planner coupled with a hierarchical Model Predictive Control (MPC) framework for path smoothing in agricultural vehicles. The goal is to minimi…
SwarmCVT: Centroidal Voronoi Tessellation-Based Path Planning for Very-Large-Scale Robotics
James Gao, Jacob Lee, Yuting Zhou +3
Swarm robotics, or very large-scale robotics (VLSR), has many meaningful applications for complicated tasks. However, the complexity of motion control and energy costs stack up qui…