Kruttidipta Samal

Georgia Institute of Technology, Kitware (United States)

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About

Kruttidipta Samal is a leading researcher in autonomous systems, specializing in multi-modal sensor fusion and adaptive robotic perception. His work addresses critical challenges in resource-efficient autonomy, particularly for aerial and ground robots operating under real-world constraints. Samal’s most influential contribution is his 2021 paper on “Task-Driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous Systems,” which has garnered 51 citations. This work pioneered a selective fusion strategy that intelligently balances accuracy and computational cost by activating only necessary sensor modalities—a breakthrough for power-constrained platforms like drones and autonomous vehicles. More recently, in 2024, Samal introduced an adaptive perception control framework using Twin Delayed DDPG reinforcement learning, enabling aerial robots to dynamically adjust their neural network-based perception in response to environmental changes. This approach overcomes the limitations of static convolutional networks, reducing latency and computational overhead while maintaining robust performance. Samal’s research directly enables more intelligent, responsive, and energy-aware autonomous systems, making him a notable figure in the intersection of computer vision, robotics, and resource-constrained AI.