From the 1 of 12 linked papers with an AI index.
12 papers
Learning Smooth SE(3) Trajectories under Left-Invariant Riemannian Metrics
Yuwei Wu, Vijay Kumar
Optimal trajectory generation for rigid-body motions on Lie groups can be formulated as a variational problem that minimizes energy functionals defined by Riemannian metrics. While…
EFLUX: Elastic Multi-Robot Formation Navigation and Adaptation with Agentic LLMs
Jinyuan Zhang, Yuwei Wu, Guangyao Shi +3
The paper introduces EFLUX, a framework that uses a language model to reason about and execute both deformation (scaling, shearing) and reconfiguration (splitting, merging) actions…
STAR-Filter: Efficient Convex Free-Space Approximation via Starshaped Set Filtering in Noisy Environments
Yuwei Wu, Yichen Zhao, Dexter Ong +1
Approximating collision-free space is fundamental to robot planning in complex environments. Convex geometric representations, such as polytopes and ellipsoids, are widely employed…
MIGHTY: Hermite Spline-based Efficient Trajectory Planning
Kota Kondo, Yuwei Wu, Vijay Kumar +1
Hard-constraint trajectory planners often rely on commercial solvers and demand substantial computational resources. Existing soft-constraint methods achieve faster computation, bu…
Hierarchical LLMs In-the-Loop Optimization for Real-Time Multi-Robot Target Tracking under Unknown Hazards
Yuwei Wu, Yuezhan Tao, Peihan Li +4
Real-time multi-robot coordination in hazardous and adversarial environments requires fast, reliable adaptation to dynamic threats. While Large Language Models (LLMs) offer strong…
PIP-LLM: Integrating PDDL-Integer Programming with LLMs for Coordinating Multi-Robot Teams Using Natural Language
Guangyao Shi, Yuwei Wu, Vijay Kumar +1
Enabling robot teams to execute natural language commands requires translating high-level instructions into feasible, efficient multi-robot plans. While Large Language Models (LLMs…