Christopher Thierauf, PhD https://validator.w3.org/feed/docs/rss2.html Deployment and Development of a Cognitive Teleoreactive Framework for Deep Sea Autonomy. A Gentle Introduction to Symbolic Planning and Reasoning “Do This Instead”—Robots That Adequately Respond to Corrected Instructions. Self-Debugging Robots: Fault recovery through reasoning and planning. Toward Competent Robot Apprentices: Enabling Proactive Troubleshooting in Collaborative Robots. Fixing Symbolic Plans with Reinforcement Learning in Object-Based Action Spaces. ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments Design of a Depth Triggered Mechanical Fuse. Chris Thierauf Research Papers — Read Online Chris Thierauf, PhD Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection. Updates Bard College Seminar 2026 Robots that Learn to Solve Symbolic Novelties with Self-Generated RL Simulations.