47 citations · 57 across the 17 of their papers we have counts for
18 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
Multi-robot teams operating in confined or cluttered environments must adapt both their formation geometry and group topology to navigate through complex obstacles. This adaptation…
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…
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…
DroneFL: Federated Learning for Multi-UAV Visual Target Tracking
Xiaofan Yu, Yuwei Wu, Katherine Mao +3
Multi-robot target tracking is a fundamental problem that requires coordinated monitoring of dynamic entities in applications such as precision agriculture, environmental monitorin…
SPAR: Scalable LLM-based PDDL Domain Generation for Aerial Robotics
Songhao Huang, Yuwei Wu, Guangyao Shi +2
We investigate the problem of automatic domain generation for the Planning Domain Definition Language (PDDL) using Large Language Models (LLMs), with a particular focus on unmanned…
Compositional Coordination for Multi-Robot Teams with Large Language Models
Zhehui Huang, Guangyao Shi, Yuwei Wu +2
Multi-robot coordination has traditionally relied on a mission-specific and expert-driven pipeline, where natural language mission descriptions are manually translated by domain ex…
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…
Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones
Peihan Li, Yuwei Wu, Jiazhen Liu +3
Multi-robot collaboration for target tracking in adversarial environments poses significant challenges, including system failures, dynamic priority shifts, and other unpredictable…
Safe Interval Motion Planning for Quadrotors in Dynamic Environments
Songhao Huang, Yuwei Wu, Yuezhan Tao +1
Trajectory generation in dynamic environments presents a significant challenge for quadrotors, particularly due to the non-convexity in the spatial-temporal domain. Many existing m…
Towards Optimizing a Convex Cover of Collision-Free Space for Trajectory Generation
Yuwei Wu, Igor Spasojevic, Pratik Chaudhari +1
We propose an online iterative algorithm to optimize a convex cover to under-approximate the free space for autonomous navigation to delineate Safe Flight Corridors (SFC). The conv…
Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance
Anish Bhattacharya, Nishanth Rao, Dhruv Parikh +5
We demonstrate the capabilities of an attention-based end-to-end approach for high-speed vision-based quadrotor obstacle avoidance in dense, cluttered environments, with comparison…
Multi-Robot Target Tracking with Sensing and Communication Danger Zones
Jiazhen Liu, Peihan Li, Yuwei Wu +3
Multi-robot target tracking finds extensive applications in different scenarios, such as environmental surveillance and wildfire management, which require the robustness of the pra…
Trajectory Optimization with Global Yaw Parameterization for Field-of-View Constrained Autonomous Flight
Yuwei Wu, Yuezhan Tao, Igor Spasojevic +1
Trajectory generation for quadrotors with limited field-of-view sensors has numerous applications such as aerial exploration, coverage, inspection, videography, and target tracking…
Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning
Xiatao Sun, Yuwei Wu, Subhrajit Bhattacharya +1
In recent years Landmark Complexes have been successfully employed for localization-free and metric-free autonomous exploration using a group of sensing-limited and communication-l…
SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain
Yuezhan Tao, Yuwei Wu, Beiming Li +4
We address the problem of efficient 3-D exploration in indoor environments for micro aerial vehicles with limited sensing capabilities and payload/power constraints. We develop an…
An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments
Zhichao Han, Yuwei Wu, Tong Li +8
As a core part of autonomous driving systems, motion planning has received extensive attention from academia and industry. However, real-time trajectory planning capable of spatial…