Alexandre Cherpillod

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

209

H-Index

About

Alexandre Cherpillod has pioneered the fusion of haptics, soft robotics, and human-machine interfaces, creating intuitive systems that bridge the gap between human physiology and robotic control. His most influential work introduces a portable three-degrees-of-freedom force feedback origami robot for human-robot interactions (113 citations), demonstrating how foldable structures can deliver compact yet powerful haptic feedback. Cherpillod’s research fundamentally rethinks teleoperation: his data-driven body-machine interface for drone control (91 citations) leverages machine learning to map natural human movements into precise flight commands, eliminating the steep learning curve of traditional joysticks. This work directly addresses the cognitive burden of conventional interfaces, proposing embodied interactions that make robotic control feel like an extension of the operator’s own body. In his exploration of embodied flight, Cherpillod argues that true synergy between human and machine requires bidirectional physical coupling—where the robot’s state is intuitively felt, not just displayed. His contributions are reshaping how we design interfaces for drones, prosthetics, and assistive devices, prioritizing accessibility and instinct over technical proficiency. For students and researchers, Cherpillod’s work offers a compelling vision: a future where controlling a robot is as natural as moving your own arm.