Jonne Van Haastregt

Papers

Total Citations

H-Index

About

Jonne Van Haastregt is an emerging researcher at the forefront of human-robot interaction and robotic skill learning, with a particular focus on augmented reality teleoperation and imitation learning. His most influential work introduces innovative methods for intuitively controlling robots through augmented reality environments, most notably the "Puppeteer" framework, which allows operators to manipulate a virtual robot overlay to guide physical robot behavior — combining physical intuition with the flexibility of digital control. Building on this foundation, Van Haastregt extended the system to incorporate large language models, enabling controller-free, voice-commanded teleoperation that further lowers the barrier to robot operation. His work on diffusion policies and foundation models demonstrates a broader interest in enabling robots to acquire complex manipulation skills through behavioral cloning and multimodal pre-trained architectures. Collectively, his papers have accumulated over 25 citations within a remarkably short publication window, signaling strong early-career impact. Van Haastregt's research addresses a critical challenge in modern robotics: making high-quality demonstration collection more accessible, ultimately accelerating progress in robot learning for real-world manipulation tasks.