Papers
6
Total Citations
56
H-Index
3
About
Kumar Akash is a researcher whose work spans human-machine collaboration, autonomous systems, and human-robot interaction, with a particular focus on the social and behavioral dimensions of emerging technologies. His most influential contribution, "Improving Human-Machine Collaboration Through Transparency-based Feedback" (2019, 42 citations), addresses how autonomous systems can model human trust and workload dynamics to enable more effective and adaptive collaboration — a foundational challenge in intelligent systems design. Building on this foundation, Akash has turned his attention to prosocial behavior in human-robot and micromobility contexts, investigating how observational learning, post-ride feedback, and immersive virtual environments can cultivate cooperative norms between humans and autonomous agents such as delivery robots and e-scooters. His recent work reflects a timely concern for societal acceptance of urban autonomous technologies, recognizing that technical capability alone is insufficient without complementary social integration. His development of HandMatic, a gesture-controlled robotic arm using a hybrid CNN-BiLSTM and Transformer architecture, further demonstrates his range across both behavioral and engineering dimensions. Collectively, Akash's research offers meaningful insights for students and practitioners working at the intersection of autonomy, trust, and human-centered design.
Research Focus
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Top Papers
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