Guillermo A. Castillo
Engineering · The Ohio State University
Publications
37
Citations
228
Est. group size
~2
Recurring co-author estimate
Active years
11
Publishing since 2016
Guillermo A. Castillo works on making legged robots—especially two-legged (bipedal) robots—walk safely and reliably over difficult terrain. His research combines control theory, machine learning, and safety testing methods to help robots plan their steps, avoid obstacles, and recover from disturbances, while also developing standardized ways to measure and compare how well robots actually perform.
Publication output has grown from essentially none a decade ago to a steady pace of about 5 papers per year over the last five years, with continued activity through 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Learning Terrain-Aware Bipedal Locomotion via Reduced-Dimensional Perceptual Representations
IEEE Transactions on Control Systems Technology · 2026
- Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection
arXiv (Cornell University) · 2026
- Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection
arXiv (Cornell University) · 2026
- Corrections to “Rethink Repeatable Measures of Robot Performance With Statistical Query”
IEEE Transactions on Robotics · 2026
- Rethink Repeatable Measures of Robot Performance With Statistical Query
IEEE Transactions on Robotics · 2025
- Real-Time Safe Bipedal Robot Navigation using Linear Discrete Control Barrier Functions
2025
- Enhancing Repeatability and Reliability of Accelerated Risk Assessment in Robot Testing
2025
- Adaptive Step Duration for Accurate Foot Placement: Achieving Robust Bipedal Locomotion on Terrains with Restricted Footholds
2025
- Learning Terrain Aware Bipedal Locomotion via Reduced Dimensional Perceptual Representations
arXiv (Cornell University) · 2025
- Towards Standardized Disturbance Rejection Testing of Legged Robot Locomotion with Linear Impactor: A Preliminary Study, Observations, and Implications
2024
- Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning
2024
- Repeatable and Reliable Efforts of Accelerated Risk Assessment in Robot Testing
arXiv (Cornell University) · 2024
- Real-Time Safe Bipedal Robot Navigation using Linear Discrete Control Barrier Functions
arXiv (Cornell University) · 2024
- On the Comparability and Optimal Aggressiveness of the Adversarial Scenario-Based Safety Testing of Robots
IEEE Transactions on Robotics · 2023
- Template Model Inspired Task Space Learning for Robust Bipedal Locomotion
2023
- arXiv (Cornell University)×16
- IEEE Transactions on Robotics×3
- 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)×2
- IEEE Robotics and Automation Letters×1
- IEEE Access×1
- Ayonga Hereid
Engineering · The Ohio State University
- Yan Gu
Engineering · Purdue University West Lafayette
- C. S. George Lee
Engineering · Purdue University West Lafayette
- Manoj Srinivasan
Engineering · The Ohio State University
- Victor Paredes
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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