Papers
6
Total Citations
57
H-Index
5
About
Christoph Winter is a robotics and autonomous vehicle researcher whose work sits at the intersection of motion planning, vehicle control, and intelligent transportation systems. Based at the German Aerospace Center (DLR) Institute of System Dynamics and Control, Winter has made significant contributions to the development of advanced control and path planning strategies for electric and overactuated robotic vehicles, with much of his research centered on DLR's distinctive ROboMObil (ROMO) research platform. His most influential work, "Advanced Path Following Control of an Overactuated Robotic Vehicle" (2015, 18 citations), established robust methods for enabling autonomous vehicles to follow predefined trajectories with full planar motion control. Complementing this, his research into real-time online path planning and energy-optimal velocity profiling has advanced the practical feasibility of autonomous electric vehicle operation. More recently, Winter has embraced machine learning approaches, exploring reinforcement learning-based path following that addresses parametric uncertainties through dynamics randomization — a critical challenge in bridging simulation and real-world deployment. With cumulative citations exceeding 55 across his key publications, Winter represents an important voice in DLR's broader automotive research agenda, blending experimental validation with algorithmic innovation to push autonomous mobility closer to reliable, real-world application.
Research Focus
Key Achievements
Top Papers
- 1Advanced path following control of an overactuated robotic vehicle18 citations · 2015
- 2Experimental investigation of online path planning for electric vehicles14 citations · 2016
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