Papers
18
Total Citations
264
H-Index
11
About
Caio Mucchiani is a multidisciplinary robotics researcher whose work spans assistive robotics, robotic manipulation, soft robotics, and agricultural automation. He is perhaps best known for his foundational contributions to affordable mobile service robots designed for elder care, with three highly cited studies from 2017 — collectively accumulating nearly 90 citations — that systematically engaged clinicians, caregivers, and older adults to define design requirements, assess stakeholder perceptions, and evaluate real-world robot deployments in supportive living facilities. This human-centered approach set a rigorous standard for translational robotics research in aging contexts. Mucchiani has also made notable contributions to robotic manipulation, introducing innovative techniques such as passive end-effector object picking and edge-rolling manipulation, demonstrating a flair for elegant, constraint-driven solutions to complex grasping problems. His work has since expanded into soft robotics — including Koopman operator-based gripper control and pediatric wearable devices — and agricultural robotics, where his research on automated crop water-status assessment addresses pressing sustainability challenges. His 2021 deployment of a socially assistive robot for COVID-19 screening further underscores his ability to rapidly translate robotic systems into real-world health settings. With over 195 cumulative citations, Mucchiani represents a versatile and impactful voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Evaluating older adults' interaction with a mobile assistive robot24 citations · 2017
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- 6Robotic Edge-Rolling Manipulation: A Grasp Planning Approach18 citations · 2018
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