Jonathan P. King — accepted AI-conference papers

2026

High Fidelity Capture, Reconstruction, and Transfer of Human Demonstrations for Robot-Assisted Bathing

Arjun Lakshmipathy, Jonathan P. King, Ethan Zuo, Rohit Satishkumar, Hongyi Chen, Jeffrey Ichnowski +3

RSS 2026poster

Despite the demand for robots in high-value clinical tasks like bathing, contemporary systems still lack the safety and reliability required for complex, sustained physical interaction with humans. A key challenge hindering the development of such systems is that collecting, understanding, and effec…

Cited by 0 Source ↗Scholar ↗

2017

Design, modeling, and control of pneumatic artificial muscles with integrated soft sensing

Jonathan P. King, Luis E. Valle, Nishant Pol, Yong-Lae Park

ICRA 2017poster

Presented are techniques for designing, modeling, and control of reliable pneumatic artificial muscle actuators with integrated low profile sensors for position feedback. The sensor is fabricated through a three-dimensional manufacturing process based on a modified lathe approach for controlling vis…

Cited by 35 Source ↗Scholar ↗

2015

Scaling controllable adhesives to grapple floating objects in space

Hao Jiang, Elliot W. Hawkes, Vladimir Arutyunov, Jacob Tims, Christine Fuller, Jonathan P. King +4

ICRA 2015poster

As the number of rocket bodies and other debris in Earth's orbit increases, the need to capture and remove this space junk becomes essential to protect new satellites. A low cost solution may include gecko-inspired directional adhesives, which require almost no compressive preload to generate adhesi…

Cited by 67 Source ↗Scholar ↗