ROB 498 /599: Computational Human-Robot Interaction Fall 2023

Writing and presentation resources

• How to speak (Patrick Winston)
• The visual display of quantitative information (Edward Tufte)
How to write a good report (Andy Ruina)

Tools

• The Open Motion Planning Library (OMPL)
• Amazon Mechanical Turk
• Braidlab (topological analysis of multiagent behavior)
• Repulsive curves (fast trajectory optimizer)
• trajopt
• OpenPose

Simulators

• RCareWorld
• Crowdnav
• iGibson
• Reciprocal Velocity Obstacle (crowd simulation)

Datasets

• ETH (pedestrian) datasets
• TBD pedestrian dataset
• Stanford drone dataset
• Waymo open dataset
• Nuscenes
• RWTH Aachen traffic datasets
• Robot feeding datasets

Tutorials

• Ben Recht: An outsider's tour of reinforcement learning
• Andreas Krause: Safe reinforcement learning
• Michael Bronstein: Geometric deep learning
• Jeannette Bohg: Representations and representation learning in robotics
• Russ Tedrake: Motion planning around obstacles with convex optimization
• Matthew Kelly: Introduction to trajectory optimization
• Ben Recht: Optimization perspectives on learning to control
• Which statistical test to use?

Computational HRI courses offered at other institutions

• Human-Robot Interaction: Algorithms & Experiments (Cornell)
• Computational HRI (USC)
• Safe and Interactive Robotics (Stanford)
• Algorithmic HRI (UC Berkeley)
• HRI (Virginia Tech)