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cs699's Introduction

USC CS699 Computational Human-Robot Interation

Instructor: Stefanos Nikolaidis (nikolaid at usc dot edu) Class: 2021 Spring

Papers

Action selection for collaboration

Training of human teams and shared mental models

Action coordination in human-robot teams

Intent inference

  • Goal Inference as Inverse Planning, Baker et al.

  • Planning-based Prediction for Pedestrians, Ziebart et al

  • Expressing thought: improving robot readability with animation principles, Takayama et al.

  • The Illusion of Robotic Life, Ribeiro and Paiva.

  • Generating Legible Robot Motion, Dragan and Srinivasa.

  • Enhancing Interaction Through Exaggerated Motion Synthesis, Gielniak and Thomaz.

  • Planning and acting in partially observable stochastic domains, Kaelbling et al.

  • Intention-aware motion planning, Bandyopadhyay et al.

  • Belief Space Planning for Sidekicks in Cooperative Games, Macindowe et al

  • Formalizing Human-Robot Mutual Adaptation: A Bounded Memory Model, Nikolaidis et al.

  • Learning Latent Representations to Influence Multi-Agent Interaction, Xie et al.

  • Shared Autonomy via Hindsight Optimization, Javdani et al.

  • Autonomy Infused Teleoperation with Application to BCI Manipulation, Muelling et al.

  • Trajectories and Keyframes for Kinesthetic Teaching: A Human-Robot Interaction Perspective, Akgun et al.

Homeworks

  • HW1: Value Iteration algorithm
  • HW2

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