Gerard Canal

Gerard Canal is a Lecturer in Autonomous Systems at King's College London's Department of Informatics. He holds a PhD in Robotics from the Institut de Robòtica i Informàtica Industrial (CSIC-UPC), supervised by Guillem Alenyà and Carme Torras. His research focuses on assistive robotics, human-robot interaction, and explainable AI planning. He has contributed to projects like COHERENT (explainable robotic explanations), THuMP (trust in human-machine partnerships), and I-DRESS (assistive dressing systems).

• Education: BSc Computer Science (FIB, UPC, 2013); MSc Artificial Intelligence (UPC/UB/URV, 2015); PhD Robotics (IRI, 2020)
• Key Projects:
  • COHERENT: Hierarchical robotic explanations (2021-2025)
  • RExAR: Explainable autonomous robots (2021-2024)
  • THuMP: Trustworthy AI systems (2020-2021)
• Research Interests: Robot personalization, HRI evaluation metrics, AI planning for robotics, trust in human-robot collaboration

His work combines cognitive robotics, real-time adaptation, and ethical considerations to build trustworthy assistive systems. Recent publications address multimodal explanations, LLM alignment for HRI, and probabilistic human capability inference.