Andrey Rudenko
Scholar

Andrey Rudenko

Google Scholar ID: BlSfMYwAAAAJ
Munich Institute of Robotics and Machine Intelligence, Technical University of Munich
RoboticsHuman Motion PredictionPath and Motion PlanningHuman-Robot Interaction
Citations & Impact
All-time
Citations
1,589
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published multiple papers on human motion prediction, including in IEEE RA-L (THÖR and urban occupancy priors)
  • Co-organized the 'Long-term Human Motion Prediction' workshops at ICRA 2020, 2021, and 2022
  • Co-organized the 'Benchmarking Trajectory Forecasting Models' workshop at ECCV 2020
  • Contributed to the development of the Atlas Benchmark for motion prediction algorithms
  • Authored a comprehensive survey reviewing 170+ human motion prediction methods, benchmarks, and open challenges
  • THÖR paper accepted to IEEE RA-L and presented at ICRA 2020
  • First public presentation of Atlas Benchmark at RSS 2021 Workshop on Social Navigation
Research Experience
  • Joined Robert Bosch as a full-time employee in March 2021
  • Participated in the DARKO project with an integration week at Örebro University
  • Developed THÖR dataset: a novel dataset of accurate and diverse human motion trajectories with eye gaze data
  • Built an MDP-based socially-aware motion predictor
  • Learned occupancy priors in urban environments using Inverse Reinforcement Learning and CNNs from semantic maps