Anurag Kamal

Papers

Total Citations

H-Index

About

Anurag Kamal is a robotics researcher whose work focuses on the critical intersection of multi-robot coordination and human-robot interaction for mission-critical applications. His primary research areas include multi-robot mission planning, energy-aware autonomy, and learning from demonstration for remote robot operation. Kamal’s most impactful contribution, “Multi-Robot Mission Planning with Static Energy Replenishment” (2018), has garnered 31 citations, addressing the fundamental challenge of sustaining long-duration robotic missions through strategic energy management. This work provides foundational algorithms for deploying robot teams in environments where autonomous recharging is essential. In parallel, his research on “Learning Navigation Tasks from Demonstration for Semi-Autonomous Remote Operation of Mobile Robots” (2018) tackles the practical difficulties of teleoperating robots in hazardous settings, such as search and rescue. By enabling robots to learn from human demonstrations, Kamal’s approach reduces operator cognitive load while improving task efficiency. His contributions are particularly valuable for field robotics, where robust autonomy and efficient human-robot collaboration can mean the difference between mission success and failure in dangerous or inaccessible environments.