activity
20132020
most citedOptimal Multi-Robot Path Planning on Graphs: Structure and Computational Complexity

33 citations · 103 across the 15 of their papers we have counts for

collaborators

20 papers

cs.RO20202 cited

DIPN: Deep Interaction Prediction Network with Application to Clutter Removal

Baichuan Huang, Shuai D. Han, Abdeslam Boularias +1

We propose a Deep Interaction Prediction Network (DIPN) for learning to predict complex interactions that ensue as a robot end-effector pushes multiple objects, whose physical prop…

cs.RO2020

Computing High-Quality Clutter Removal Solutions for Multiple Robots

Wei N. Tang, Shuai D. Han, Jingjin Yu

We investigate the task and motion planning problem of clearing clutter from a workspace with limited ingress/egress access for multiple robots. We call the problem multi-robot clu…

cs.NI2020

Adaptive Real-Time Scheduling for Cooperative Cyber-Physical Systems

Georg von Zengen, Jingjing Yu, Lars C. Wolf

CPSs are widely used in all sorts of applications ranging from industrial automation to search-and-rescue. So far, in these applications they work either isolated with a high mobil…

cs.RO2020

Optimally Guarding Perimeters and Regions with Mobile Range Sensors

Si Wei Feng, Jingjin Yu

We investigate the problem of using mobile robots equipped with 2D range sensors to optimally guard perimeters or regions, i.e., 1D or 2D sets. Given such a set of arbitrary shape…

math.OC20191 cited

Optimal Perimeter Guarding with Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms

Si Wei Feng, Jingjin Yu

We perform structural and algorithmic studies of significantly generalized versions of the optimal perimeter guarding (OPG) problem. As compared with the original OPG where robots…

cs.RO20194 cited

Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor

Shuai D. Han, Si Wei Feng, Jingjin Yu

Robotic pick-and-place (PnP) operations on moving conveyors find a wide range of industrial applications. In practice, simple greedy heuristics (e.g., prioritization based on the t…