ROB 498 /599: Computational Human-Robot Interaction Fall 2024 |
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Surveys & Taxonomies
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)
Benchmarking
- Wizard of Oz studies in HRI: A systematic review and new reporting guidelines
- Common metrics for human-robot interaction
- A primer for conducting experiments in HRI
- Evaluating fluency in human-robot collaboration
- Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots
- NASA TLX
- RoSAS
Software
- The Open Motion Planning Library (OMPL)
- Amazon Mechanical Turk
- Braidlab (topological analysis of multiagent behavior)
- Repulsive curves (fast trajectory optimizer)
- trajopt
- OpenPose
Simulation
- The Oz of Wizard: simulating the human for interaction research
- Socnavbench: A grounded simulation testing framework for evaluating social navigation
- Reciprocal n-body collision avoidance
- 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)
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© 2024 Christoforos Mavrogiannis