Papers
7
Total Citations
40
H-Index
4
About
Apan Dastider is a robotics and artificial intelligence researcher whose work spans assistive technology, robotic motion planning, and autonomous navigation. His early contributions include the development of the e-cane (2017), a cost-efficient smart navigation device designed to enhance mobility for visually impaired individuals through ultrasonic-based object detection — a socially impactful application of robotics that has garnered 11 citations. Building on this foundation, Dastider has made significant strides in advanced robotic manipulation and motion planning. His APEX framework (2024) leverages collision-free generative diffusion models for ambidextrous dual-arm manipulation, while DAMON (2023) employs topological manifold learning and variational autoencoding to navigate complex, dynamic environments. His RETRO system further addresses real-time trajectory optimization under rapidly changing conditions. Across reinforcement learning, Dastider has explored Bayesian policy search for survivable robot control and bio-inspired locomotion strategies, drawing from earthworm movement to advance hyperredundant robot design. With a growing body of work accumulating over 40 citations, Dastider represents an emerging voice in intelligent robotics, consistently bridging theoretical machine learning with practical, real-world robotic systems.
Research Focus
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Top Papers
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