Aman Singh

Motilal Nehru National Institute of Technology, Robert Bosch (China)

Papers

Total Citations

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About

Aman Singh is a robotics researcher whose work focuses on the intersection of nonlinear control and legged locomotion. His primary contributions lie in developing efficient control strategies for robotic systems, with a particular emphasis on event-triggered mechanisms and force-based locomotion. Singh's most cited work, "Event Triggered Control of Robot Manipulator" (2019, 9 citations), introduces a novel sliding mode control framework that uses event triggering to optimize communication and computational resources in robot manipulators. This approach ensures precise trajectory tracking while significantly reducing unnecessary control updates, addressing a key challenge in resource-constrained robotic systems. More recently, Singh has advanced the field of quadrupedal locomotion with "Force control for Robust Quadruped Locomotion: A Linear Policy Approach" (2023, 2 citations), where he demonstrates that a surprisingly simple linear policy can achieve robust force control for dynamic and agile motions. By learning to generate end-foot trajectory parameters and centroidal wrenches, this work offers a computationally efficient alternative to complex nonlinear controllers, making it highly relevant for real-time applications. Singh's research bridges theoretical control design with practical robotic implementation, and his event-triggered control work remains a foundational reference for researchers seeking to balance performance with efficiency in autonomous systems.