Caleb Escobedo

University of Colorado Boulder, Samsung (United States)

Papers

5

Total Citations

61

H-Index

5

About

Caleb Escobedo is a roboticist advancing the frontier of physical human-robot interaction (pHRI) by equipping robots with a new kind of sensory intelligence. His research centers on developing novel sensing modalities and control frameworks that allow robots to anticipate, detect, and safely manage contact with humans. Escobedo’s most influential work, "Contact Anticipation for Physical Human–Robot Interaction with Robotic Manipulators using Onboard Proximity Sensors" (31 citations), introduces a unified framework that moves beyond simple collision avoidance to enable deliberate, safe physical interaction—a critical step for robots operating in shared human environments. He has also pioneered self-contained kinematic calibration for whole-body artificial skin and created innovative acoustic-field-based sensors like AmbiSense and SonicFinger, which provide blindspot-free proximity detection and pre-touch sensing for reactive grasping. These contributions, spanning from foundational calibration methods to practical fingertip sensors, have earned him over 60 citations and established him as a key innovator in making robots more perceptive and safer collaborators. Escobedo’s work directly addresses the core challenge of enabling fluid, intuitive, and safe coexistence between humans and robots.

Research Focus

Key Achievements

5
H-Index
5
Papers
61
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Contact Anticipation for Physical Human–Robot Interaction with Robotic Manipulators using Onboard Proximity Sensors
31 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Colorado Boulder, Samsung (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago