activity
20232025
most citedExpected -Makespan-Optimal MAPF on Grids in Low-Poly Time

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking

Teng Guo, Jingjin Yu

We introduce a robust framework, RGBTrack, for real-time 6D pose estimation and tracking that operates solely on RGB data, thereby eliminating the need for depth input for such dyn…

cs.RO2025

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping

Teng Guo, Baichuan Huang, Jingjin Yu

Accurate 6D object pose estimation is a prerequisite for successfully completing robotic prehensile and non-prehensile manipulation tasks. At present, 6D pose estimation for roboti…

cs.RO2024★ 2 cited

Expected -Makespan-Optimal MAPF on Grids in Low-Poly Time

Teng Guo, Jingjin Yu

Multi-Agent Path Finding (MAPF) is NP-hard to solve optimally, even on graphs, suggesting no polynomial-time algorithms can compute exact optimal solutions for them. This raises a…

cs.RO2024

Targeted Parallelization of Conflict-Based Search for Multi-Robot Path Planning

Teng Guo, Jingjin Yu

Multi-Robot Path Planning (MRPP) on graphs, equivalently known as Multi-Agent Path Finding (MAPF), is a well-established NP-hard problem with critically important applications. As…

cs.RO2024

Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like Robots

Teng Guo, Jingjin Yu

Path planning for multiple non-holonomic robots in continuous domains constitutes a difficult robotics challenge with many applications. Despite significant recent progress on the…

cs.RO2024

Well-Connected Set and Its Application to Multi-Robot Path Planning

Teng Guo, Jingjin Yu

Parking lots and autonomous warehouses for accommodating many vehicles/robots adopt designs in which the underlying graphs are \emph{well-connected} to simplify planning and reduce…

cs.RO2023

Bin Assignment and Decentralized Path Planning for Multi-Robot Parcel Sorting

Teng Guo, Jingjin Yu

At modern warehouses, mobile robots transport packages and drop them into collection bins/chutes based on shipping destinations grouped by, e.g., the ZIP code. System throughput, m…