Papers
1
Total Citations
4
H-Index
1
About
Sushant Swamy is a researcher advancing the field of socially compliant autonomous navigation through reinforcement learning. His primary research areas lie at the intersection of robotics, artificial intelligence, and human-robot interaction, with a focus on enabling robots to navigate safely and naturally in human-populated environments. Swamy’s most notable contribution is the development of SocNavGym, a reinforcement learning gym specifically designed for social navigation tasks. This platform provides a standardized, flexible simulation environment where researchers can train and evaluate deep reinforcement learning algorithms for socially aware robot movement. The work addresses a critical gap in robotics: the need for machines that can interpret and respect human social norms, such as personal space and group dynamics, while moving through crowded spaces. Although published in 2023, SocNavGym has already garnered 4 citations, reflecting its growing relevance in the robotics community. By offering an accessible tool for benchmarking and developing socially compliant policies, Swamy’s work helps accelerate progress toward robots that can seamlessly integrate into everyday human environments, from hospitals to public squares.
Research Focus
Key Achievements
Top Papers
- 1SocNavGym: A Reinforcement Learning Gym for Social Navigation4 citations · 2023