research
∙
05/19/2023
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation
Multi-robot navigation is the task of finding trajectories for a team of...
share
research
∙
04/24/2023
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning
The hierarchy of global and local planners is one of the most commonly u...
research
∙
03/23/2023
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation
We propose a novel method for joint estimation of shape and pose of rigi...
research
∙
03/16/2023
InCrowdFormer: On-Ground Pedestrian World Model From Egocentric Views
We introduce an on-ground Pedestrian World Model, a computational model ...
research
∙
01/26/2023
Periodic Multi-Agent Path Planning
Multi-agent path planning (MAPP) is the problem of planning collision-fr...
research
∙
10/12/2022
ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view
We introduce a novel learning-based method for view birdification, the t...
research
∙
01/24/2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
Multi-agent path planning (MAPP) in continuous spaces is a challenging p...
research
∙
11/09/2021
View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements
We introduce view birdification, the problem of recovering ground-plane ...
research
∙
09/16/2020
Path Planning using Neural A* Search
We present Neural A*, a novel data-driven search algorithm for path plan...
research
∙
03/20/2020
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation
This work presents a deep reinforcement learning framework for interacti...
research
∙
11/22/2019
