Max Hedman Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
Biography and Research Information
OverviewAI-generated summary
Max Hedman's research focuses on robot motion planning, specifically investigating optimal reference trajectories generated by Model Predictive Control (MPC) for the Robotino platform. His work addresses robust motion planning challenges, particularly in scenarios with saturating inputs. Hedman's recent publication in 2021 highlights these areas of study.
Metrics
- h-index: 1
- Publications: 1
- Citations: 5
Selected Publications
-
FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs (2021)
Collaboration Network
Top Collaborators
- FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
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