Dimple Bhuta

Researching GPS-denied terrain-following navigation for multirotor UAVs using LiDAR, vision, and IMU sensors, evaluating VPS, VIO, and developing novel localization approaches. Researching multi-sensor fusion for robust obstacle detection using LiDAR, radar, and depth cameras, and evaluating obstacle avoidance strategies.

Led UAV multispectral sensing projects for pipeline leak detection and agricultural phenotyping, alongside autonomous navigation, sense-and-avoid, and VIO localization systems.

Developed multi-agent path planning, trajectory tracking, and obstacle avoidance for autonomous patrolling robots in collaboration with CAIR, DRDO.

summary: | Developed vision-based surveillance systems for ATM deployment, including human detection and tracking and deep learning-based anomaly detection.

Developed motion planning, perception, and grasping solutions for autonomous robotic manipulators, including a 7-DOF robot for beach cleaning applications.

Worked in the Neuromorphic Engineering Group on tactile sensing and haptics, developing slip control for the WidowX robot, a haptic glove interface, and motion planning for UR10 manipulators and the iLIMB prosthetic hand.

Implemented modified GrabCut algorithms for precise jewelry image segmentation.

Taught digital signal processing and microprocessor interfacing courses, designing and leading hands-on laboratory practicals.

Engineered EMG signal processing and pattern recognition algorithms to decode muscle activity and enable intuitive, multi-gesture prosthetic hand control.