Supratik Mukhopadhyay — accepted AI-conference papers

2024

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI

Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder de Witt, Fabio Pizzati, Katherine Elkins +18

ICML 2024oral

In the next few years, applications of Generative AI are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for these seismic changes has triggered a lively debate about potential risks and resulted in calls for tighter regulation, in p…

Cited by 9 Source ↗PDF ↗Scholar ↗

2018

How to Make Fat Autonomous Robots See all Others Fast?

Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay

ICRA 2018poster

The coordination problems arising in a team of autonomous mobile robots have received a lot of attention in the distributed robotics community. Along those lines, we study in this paper the problem of coordinating autonomous mobile robots to reposition on a convex hull so that each robot sees all ot…

Cited by 9 Source ↗Scholar ↗

2015

Tight analysis of a collisionless robot gathering algorithm

Gokarna Sharma, Costas Busch, Supratik Mukhopadhyay, Charles Malveaux

IROS 2015poster

We consider the fundamental problem of gathering a set of n robots in the Euclidean plane which have a physical extent and hence they cannot share their positions with other robots. The objective is to determine a minimum time schedule to gather the robots as close together as possible around a pred…

Cited by 16 Source ↗Scholar ↗