Vinayak Jagtap

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About

Vinayak Jagtap’s research lies at the critical intersection of assistive robotics, cyber-physical systems, and aging-in-place technologies, with a focus on preventing falls—the leading cause of mortality among older adults living alone. His most cited work, “Robotics enabled in-home environment screening for fall risks” (2014, 13 citations), pioneers the use of mobile robots to autonomously assess living spaces for hazards, addressing the shortage of trained professionals for home safety evaluations. Building on this, Jagtap developed a cyber-physical system testbed (2015, 9 citations) that enables rapid prototyping and testing of assistive robotics technologies within real-world home environments, accelerating the deployment of life-saving interventions. His notable contribution, the TOUGH framework (2020), provides a transportable, open-source application programming interface and user interface for generic humanoids, solving the critical challenge of software portability across diverse humanoid platforms. This work democratizes humanoid robotics research, allowing developers to reuse code regardless of hardware. Jagtap’s integrated approach—combining environmental sensing, CPS testbeds, and open-source tools—directly addresses the urgent need for scalable, technology-driven solutions that enable older adults to age safely and independently in their own homes.