Christopher E. Swetenham

Papers

Total Citations

H-Index

About

Christopher E. Swetenham’s research lies at the intersection of humanoid robotics, autonomous manipulation, and supervisory control. His most cited work, “Autonomous valve turning with an Atlas humanoid robot” (2014, 8 citations), demonstrates a pioneering integrated skill that enables an Atlas robot to autonomously identify, plan, and execute valve turning—a critical task in industrial and disaster-response settings. By combining compliant motion control with biped locomotion and real-time motion planning, Swetenham’s system reduces operator intervention to a single supervisory command, showcasing a leap toward practical, field-ready humanoid autonomy. This achievement highlights his focus on bridging high-level reasoning with low-level physical control, a challenge central to deploying robots in unstructured environments. While his citation count reflects a niche but impactful contribution, the work’s emphasis on seamless integration of perception, planning, and manipulation has influenced subsequent research in autonomous humanoid operations. Swetenham’s efforts underscore a commitment to advancing robotic capabilities for real-world applications, making his research a valuable reference for students and engineers exploring autonomous manipulation and humanoid locomotion.