Jonas Wittmann
Papers
7
Total Citations
27
H-Index
3
About
Jonas Wittmann is a robotics researcher focused on enabling safe, efficient, and autonomous motion for collaborative and industrial manipulators. His core research areas include motion planning, trajectory optimization, and hierarchical control for robots operating in human-centered, dynamic environments. Wittmann’s major contributions center on developing optimization-based frameworks that improve path quality and computational efficiency. His most cited work introduces a method for time-optimizing trajectories using zero-clamped cubic splines with analytical gradients, achieving smoother and faster motions for teach-by-demonstration systems. He also pioneered a hierarchical motion planning framework that balances autonomy and safety in human-robot collaboration, and has advanced energy-aware control strategies for joint velocities. Wittmann’s impact is demonstrated through his publications on remote robotic competitions, autonomous assembly (including a report from the Robothon 2021 Grand Challenge), and dual-arm planning. His work on path quality improvement for sampling-based planners and centralized versus decoupled coordination for multi-robot systems further underscores his contributions to practical, scalable robotics. With a growing citation record, Wittmann is establishing himself as a key voice in making robots more adaptive and reliable for real-world manufacturing and service applications.
Research Focus
Key Achievements
Top Papers
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- 4Energy-Aware Hierarchical Control of Joint Velocities3 citations · 2024
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