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About

Tejbanta Singh Chingtham is a robotics and artificial intelligence researcher whose work spans human-assistive robotics, autonomous systems, and biologically inspired computational models. His most recognized contribution is his 2018 research on head gesture-controlled wheelchairs for quadriplegic patients, which has garnered 50 citations and represents a meaningful advance in accessible mobility technology, enabling individuals with severe physical disabilities to navigate robotic wheelchairs through intuitive gesture-based commands. This work reflects his broader commitment to developing intelligent systems that directly improve human quality of life. Beyond assistive technology, Chingtham has made notable contributions to multi-agent robotics, exploring how artificial immune system (AIS) principles can guide resource sharing and coordination in distributed robotic environments. His earlier work on unmanned aerial vehicles as human-assistant systems and his development of a Knowledge Interchange Format (KIF) for cloud-connected robots further demonstrate his interest in enabling robots to learn, communicate, and collaborate intelligently. Collectively, his research portfolio bridges biomedical robotics, swarm intelligence, and autonomous systems, positioning him as a versatile contributor to the field of applied robotics with a consistent focus on creating technology that meaningfully serves both individuals and broader society.