activity
20112023
most citedTraining Robust Graph Neural Networks with Topology Adaptive Edge Dropping

12 citations · 37 across the 16 of their papers we have counts for

collaborators

16 papers

cs.RO2023★ 1 cited

Topo-Geometrically Distinct Path Computation using Neighborhood-augmented Graph, and its Application to Path Planning for a Tethered Robot in 3D

Alp Sahin, Subhrajit Bhattacharya

Many robotics applications benefit from being able to compute multiple locally optimal paths in a given configuration space. Examples include path planning for of tethered robots w…

cs.RO2023★ 3 cited

Forming and Controlling Hitches in Midair Using Aerial Robots

Diego S. D'Antonio, Subhrajit Bhattacharya, David Saldaña

The use of cables for aerial manipulation has shown to be a lightweight and versatile way to interact with objects. However, fastening objects using cables is still a challenge and…

cs.RO2022

Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning

Xiatao Sun, Yuwei Wu, Subhrajit Bhattacharya +1

In recent years Landmark Complexes have been successfully employed for localization-free and metric-free autonomous exploration using a group of sensing-limited and communication-l…

cs.RO2022★ 2 cited

Coordination-free Multi-robot Path Planning for Congestion Reduction Using Topological Reasoning

Xiaolong Wang, Alp Sahin, Subhrajit Bhattacharya

We consider the problem of multi-robot path planning in a complex, cluttered environment with the aim of reducing overall congestion in the environment, while avoiding any inter-ro…

cs.LG2021★ 12 cited

Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping

Zhan Gao, Subhrajit Bhattacharya, Leiming Zhang +3

Graph neural networks (GNNs) are processing architectures that exploit graph structural information to model representations from network data. Despite their success, GNNs suffer f…

cs.RO2021★ 1 cited

Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties

Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya

We consider a pursuit-evasion problem with a heterogeneous team of multiple pursuers and multiple evaders. Although both the pursuers (robots) and the evaders are aware of each oth…