Teguh Bharata Adji
Papers
7
Total Citations
185
H-Index
6
About
Teguh Bharata Adji is a leading researcher in robotics and autonomous systems, with a primary focus on path planning, obstacle avoidance, and human-robot interaction. His most significant contributions center on advancing the Artificial Potential Field (APF) method for robot navigation, addressing critical limitations such as local minima and the Goal Nonreachable with Obstacles Nearby (GNRON) problem. His seminal 2015 paper on UAV obstacle avoidance using potential fields under dynamic environments has garnered 77 citations, establishing a foundation for multi-agent coordination. Adji’s work extends to formation control for quadrotors and kinematic control integration for nonholonomic mobile robots, bridging theoretical path planning with practical implementation. Beyond navigation, he has pioneered natural interface technologies, including hand segmentation from depth images and sign language recognition for robot teleoperation, using centroid distance Fourier descriptors. With over 185 cumulative citations across his top papers, Adji’s research demonstrates a unique blend of theoretical rigor and applied robotics—from aerial vehicles to human-robot communication. His innovative repulsive function formulations and framework transformations for local information processing continue to influence real-time, sensor-limited robotic applications, making him a notable figure in intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1UAV obstacle avoidance using potential field under dynamic environment77 citations · 2015
- 2Path planning and formation control via potential function for UAV Quadrotor30 citations · 2014
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