Rasika Kangutkar

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About

Rasika Kangutkar’s research lies at the intersection of robotics, autonomous navigation, and assistive technology, with a focus on creating intelligent systems that enhance mobility and safety in indoor environments. Her most influential work, “ROS Navigation Stack for Smart Indoor Agents” (2017), has garnered 6 citations and explores how advances in computing power, sensor technology, and machine learning enable the development of assistive and personal agents that make daily life more efficient and enjoyable. In a related study, “Obstacle Avoidance and Path Planning for Smart Indoor Agents” (2017), with 2 citations, Kangutkar addresses a critical challenge: enabling motorized wheelchairs to navigate cluttered spaces autonomously, offering alternative solutions for patients with Parkinson’s, stroke, limb injuries, or vision impairments who cannot use traditional joysticks. Her contributions are particularly notable for their practical impact on assistive robotics, demonstrating how path planning and obstacle avoidance algorithms can be integrated into real-world applications to improve quality of life. Kangutkar’s work underscores the potential of robotics to empower individuals with disabilities, making her a key figure in the development of smart, accessible indoor agents.