Kelsey P. Hawkins
Papers
9
Total Citations
335
H-Index
7
About
Kelsey P. Hawkins is a leading researcher in human-robot collaboration and assistive robotics, with a focus on enabling robots to anticipate and safely interact with humans. Her work bridges probabilistic modeling and user-centered design to create responsive, intuitive robotic systems. Hawkins’ most impactful contribution is her development of probabilistic frameworks for human action prediction and wait-sensitive planning, allowing robots to infer and anticipate human actions in collaborative tasks—even under task and sensor uncertainty. This work, published in top venues, has garnered over 165 citations collectively. She also made significant strides in assistive mobile manipulation, notably enabling a person with severe quadriplegia to shave himself using a general-purpose robot, a proof-of-concept that demonstrated the life-changing potential of assistive robotics. Her studies on older adults’ acceptance of assistive robots, with 56 citations, provide critical insights into user attitudes and adoption barriers. Hawkins’ analytic inverse kinematics solutions for the Universal Robots UR-5/UR-10 arms (44 citations) are widely used in robotics research. Her work exemplifies how rigorous modeling can translate into tangible improvements in human-robot interaction and quality of life.
Research Focus
Key Achievements
Top Papers
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- 4Analytic Inverse Kinematics for the Universal Robots UR-5/UR-10 Arms44 citations · 2013
- 5Assistive mobile manipulation for self-care tasks around the head36 citations · 2014
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- 8Anticipating Human Collision Avoidance Behavior for Safe Robot Reaction7 citations · 2018
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