Benjamin John Sanders
Papers
1
Total Citations
9
H-Index
1
About
Benjamin John Sanders is a robotics researcher whose work centers on human-robot interaction and sensor-based control systems. His most cited paper, "Using confidence factors to share control between a mobile robot tele-operator and ultrasonic sensors" (2017), introduces a novel framework for dynamic control sharing between human operators and autonomous sensors. Sanders’ key contribution lies in developing a confidence-based system that allows a mobile robot to seamlessly switch between tele-operator commands and ultrasonic sensor guidance, enabling obstacle avoidance and adaptive navigation. This approach enhances safety and efficiency in semi-autonomous robotics, with the paper accumulating 9 citations to date. By integrating human input with sensor data, Sanders addresses critical challenges in shared autonomy, making his work relevant for applications in assistive robotics and industrial automation. His research bridges the gap between full human control and complete autonomy, offering a scalable solution for real-world robotic systems. Sanders continues to explore how confidence metrics can improve collaborative control, positioning him as a thoughtful contributor to the evolving field of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1