Max Hedman Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

grad_student

1 h-index 1 pubs 5 cited

Research Areas

Robotics and Sensor-Based Localization Reinforcement Learning in Robotics Control Systems and Optimization

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OverviewAI-generated summary

Max Hedman's research focuses on robot motion planning, specifically investigating methods for generating optimal reference trajectories using Model Predictive Control (MPC) in the context of robust motion planning with saturating inputs. His work also addresses the Fast Fourier Transform (FFT) Sliding Mode Control (SMC) technique within this framework. Hedman's recent publication in 2021 highlights his engagement with advanced control strategies for robotic systems.

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) DOI

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