In this paper, we propose a novel framework for tactile-based dexterous
...
Conflict-Based Search is one of the most popular methods for multi-agent...
We consider the problem of navigating a mobile robot towards a target in...
Graph Neural Networks (GNNs) are a paradigm-shifting neural architecture...
Solutions to the Traveling Salesperson Problem (TSP) have practical
appl...
Many multi-robot planning problems are burdened by the curse of
dimensio...
In this paper, we develop a learning-based approach for decentralized
su...
Dynamical systems consisting of a set of autonomous agents face the chal...
The domains of transport and logistics are increasingly relying on auton...
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant...
Psychological distress is a significant and growing issue in society.
Au...
Path planning for mobile robots in large dynamic environments is a
chall...
A comprehensive and high-quality lexicon plays a crucial role in traditi...
While there have been significant advances in de-tecting emotions in tex...
Efficient and collision-free navigation in multi-robot systems is fundam...
Purpose: Intra-operative measurement of tissue oxygen saturation (StO2) ...