Bradley Hayes
Scholar

Bradley Hayes

Google Scholar ID: rU_-c5oAAAAJ
Associate Professor, University of Colorado Boulder
Explainable Artificial IntelligenceRoboticsCollaborative RoboticsHuman-robot Interaction
Citations & Impact
All-time
Citations
1,652
 
H-index
20
 
i10-index
28
 
Publications
20
 
Co-authors
33
list available
Resume (English only)
Academic Achievements
  • - Lorin's work on generative occupancy map synthesis published in Autonomous Robots.
  • - S.K. (HIRO) and Clare's paper on Expressive Robot Trajectories with Laban Shape accepted at RO-MAN 2025.
  • - Aaquib's work on Explainability for Sequential Decision-Making and Decision Support published in Neural Computing and Applications.
  • - Yi-Shiuan Tung presented his workshop paper on environment generation for preference learning at RSS 2025.
  • - Ryan O'Loughlin's work on multiplexed gradient descent for neuromorphic learning in recurrent networks accepted at ICONS 2025!
  • - Alec (ARPG) and Lorin's work on Diffusion-Based 3D Occupancy Prediction for Frontier Exploration published at ICRA 2025!
  • - Christine's work on iterative optimization specification using LLMs to improve human planning accepted at RA-L!
  • - Matthew Luebbers defends his dissertation and graduates as CAIRO PhD #5!
  • - Emily's work on automated multimodal formative feedback accepted at HAI 2024!
  • - Aaquib Tabrez, Christine Chang, and Emily Jensen defend their dissertations and graduate as CAIRO PhDs #4, #3, and #2 respectively.
  • - Maria and Clare's work on robot social identity and competency assessment accepted at RO-MAN 2024!
  • - Clare and Maria's work on trajectory optimization for pattern-based predictability accepted at THRI!
  • - Yi-Shiuan's work on Environment Augmentation for Predictable Human-Robot Teaming nominated for best paper at HRI 2024!
Research Experience
  • Located in the engineering center at CU Boulder, our lab develops techniques at the forefront of robotics and AI to turn autonomous systems into capable teammates that learn from and collaborate with humans, making people more efficient, capable, and safe during task execution.