34 citations · 50 across the 32 of their papers we have counts for
7 papers · 1 filter
Particle-based Instance-aware Semantic Occupancy Mapping in Dynamic Environments
Gang Chen, Zhaoying Wang, Wei Dong +1
Representing the 3D environment with instance-aware semantic and geometric information is crucial for interaction-aware robots in dynamic environments. Nevertheless, creating such…
Embedded Hierarchical MPC for Autonomous Navigation
Dennis Benders, Johannes Köhler, Thijs Niesten +3
To efficiently deploy robotic systems in society, mobile robots must move autonomously and safely through complex environments. Nonlinear model predictive control (MPC) methods pro…
Decentralized Multi-Agent Trajectory Planning in Dynamic Environments with Spatiotemporal Occupancy Grid Maps
Siyuan Wu, Gang Chen, Moji Shi +1
This paper proposes a decentralized trajectory planning framework for the collision avoidance problem of multiple micro aerial vehicles (MAVs) in environments with static and dynam…
Evaluating Dynamic Environment Difficulty for Obstacle Avoidance Benchmarking
Moji Shi, Gang Chen, Álvaro Serra Gómez +2
Dynamic obstacle avoidance is a popular research topic for autonomous systems, such as micro aerial vehicles and service robots. Accurately evaluating the performance of dynamic ob…
SHINE: Social Homology Identification for Navigation in Crowded Environments
Diego Martinez-Baselga, Oscar de Groot, Luzia Knoedler +3
Navigating mobile robots in social environments remains a challenging task due to the intricacies of human-robot interactions. Most of the motion planners designed for crowded and…
Auto-Encoding Bayesian Inverse Games
Xinjie Liu, Lasse Peters, Javier Alonso-Mora +2
When multiple agents interact in a common environment, each agent's actions impact others' future decisions, and noncooperative dynamic games naturally capture this coupling. In in…
Topology-Driven Parallel Trajectory Optimization in Dynamic Environments
Oscar de Groot, Laura Ferranti, Dariu M. Gavrila +1
Ground robots navigating in complex, dynamic environments must compute collision-free trajectories to avoid obstacles safely and efficiently. Nonconvex optimization is a popular me…