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  • Robot Behavior Generation for Social Human-Robot Interaction
    In this work, we propose a method to generate a robot’s behavior for social HRI by integrating both human and robot intentions into the robot’s decision-making process Our system learns appropriate robot behaviors in social scenarios by observing human-human interactions (HHI)
  • Robot Character Generation and Adaptive Human-Robot Interaction with . . .
    We present a novel framework for designing emotionally agile robots with dynamic personalities and memory-based learning, with the aim of performing adaptive and non-deterministic interactions with humans while conforming to shared social understanding
  • Incremental learning of humanoid robot behavior from natural . . .
    In this paper, we propose a system to achieve such incremental learning of complex high-level behavior from natural interaction and demonstrate its implementation on a humanoid robot
  • Cognitive Robotics: AI Meets Human-Like Intelligence
    Artificial Intelligence and Machine Learning form the brains of the operation These are the algorithms and systems that allow robots to process information, learn from data, and make decisions But AI alone isn’t enough to create truly cognitive robots
  • Learning from humans to build social cognition among robots
    We propose that socially cognitive robots can in part be developed by learning from the social cognition processes of humans in certain experimental conditions
  • Humanoid robot learning of complex behaviors with LLMs
    Learning complex behaviors by humanoid robots could be achieved with natural interactions aided by large language models Using language to communicate thoughts and needs is a natural process for human interaction Humans can often interpret intentions without the necessity for explicit commands
  • Raising robots: Teaching robots things humans learn, including . . .
    Teaching humans to correctly weigh and assess risk is challenging enough Trying to get a robot or AI to do the same thing requires helping them understand not only the physical and mathematical components, but more nebulous factors including long-term goals, probability and understanding of humans
  • Robots that learn like humans - TU Delft
    In the past decade, robots have indeed become better at learning new tasks, an essential part of intelligence Robots are much better at perceiving their environment, which has led to smarter robot arms and which has also given the development of autonomous vehicles a powerful boost
  • How Robots Can Acquire New Skills from Their Shared Experience
    Here, we will discuss new experiments that we conducted to investigate three possible approaches for general-purpose skill learning across multiple robots: learning motion skills directly from experience, learning internal models of physics, and learning skills with human assistance
  • Learning from humans to build social cognition among robots
    In this perspective, we define social cognition among robots as the combination of social inference, social learning, social influence, and knowledge transfer, and propose that these abilities can be established in robots by building underlying mechanisms based on behaviors observed in humans





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