Optimal Multi-Robot Path Planning (MRPP) has garnered significant attent...
Object rearrangement is a fundamental sub-task in accomplishing a great ...
Effectively rearranging heterogeneous objects constitutes a high-utility...
For rearranging objects on tabletops with overhand grasps, temporarily
r...
This paper studies the problem of defending (1D and 2D) boundaries again...
We study the problem of allocating many mobile robots for the execution ...
Parking in large metropolitan areas is often a time-consuming task with
...
Performing object retrieval tasks in messy real-world workspaces involve...
We investigate the utility of employing multiple buffers in solving a cl...
Neural network (NN)-based methods have emerged as an attractive approach...
We investigate the problem of coordinating two robot arms to solve
non-m...
We propose a novel Parallel Monte Carlo tree search with Batched Simulat...
For enabling efficient, large-scale coordination of unmanned aerial vehi...
In this study, we explore the application of game theory, in particular
...
In this study, working with the task of object retrieval in clutter, we ...
Given a set of terminals in 2D/3D, the network with the shortest total l...
Graph-based multi-robot path planning (MRPP) is NP-hard to optimally sol...
In this work, we carry out structural and algorithmic studies of a probl...
In this paper, we examine the problem of rearranging many objects on a
t...
We perform a systematic exploration of the principle of Space Utilizatio...
We investigate the capacitated vehicle routing problem (CVRP) under a
ro...
For tabletop rearrangement problems with overhand grasps, storage space
...
We investigate a class of multi-object rearrangement problems in which a...
This paper considers the problem of retrieving an object from a set of
t...
In this work, we systematically examine the application of spatio-tempor...
We carry out a structural and algorithmic study of a mobile sensor cover...
Object rearrangement is a widely-applicable and challenging task for rob...
We propose a Deep Interaction Prediction Network (DIPN) for learning to
...
We investigate the task and motion planning problem of clearing clutter ...
We investigate the problem of using mobile robots equipped with 2D range...
There are n > 2 stacks, each filled with d items (its full capacity),
an...
Robotic pick-and-place (PnP) operations on moving conveyors find a wide ...
We perform structural and algorithmic studies of significantly generaliz...
We examine an important combinatorial challenge in clearing clutter usin...
We investigate the problem of optimally assigning a large number of robo...
We propose a novel centralized and decoupled algorithm, DDM*, for solvin...
Advances in sensor technologies, object detection algorithms, planning
f...
Integer programming (IP) has proven to be highly effective in solving ma...
The resolution of many robotics problems demands the optimization of cer...
Rearranging objects on a planar surface arises in a variety of robotic
a...
We push the limit in planning collision-free motions for routing uniform...
Let G = (V, E) be an m_1 ×...× m_k grid. Assuming that
each v ∈ V is occ...
This paper studies the underlying combinatorial structure of a class of
...
We study the labeled multi-robot path planning problem in continuous 2D ...
This work studies the labeled multi-robot path and motion planning probl...
In this paper, we study the problem of optimal multi-robot path planning...
For the task of moving a set of indistinguishable agents on a connected ...