Papers
4
Total Citations
55
H-Index
3
About
Miguel Vasco is a researcher at the intersection of artificial intelligence, human-robot interaction, and autonomous systems. His work spans two compelling frontiers: developing socially aware robots for therapeutic settings and pushing the boundaries of autonomous racing. Vasco’s most influential contribution is “Project INSIDE” (45 citations), which explores autonomous semi-unstructured human-robot social interaction for autism therapy, demonstrating how robots can engage meaningfully with children in real-world clinical contexts. He further investigates child-robot learning through explainable agency, revealing how suboptimal robot behavior can actually enhance transparency in educational scenarios. In a striking contrast, Vasco contributed to a super-human vision-based reinforcement learning agent for Gran Turismo, achieving the longstanding grand challenge of racing autonomous cars faster than the best human drivers. His recent work on robotics competitions for human-centric topics signals a growing interest in participatory design and public engagement. With a career bridging assistive robotics and high-performance AI, Vasco exemplifies how deep reinforcement learning and social robotics can inform one another, offering fresh perspectives on agency, trust, and capability in autonomous systems.
Research Focus
Key Achievements
Top Papers
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