Ludovic Hofer

About

Ludovic Hofer is a leading researcher in autonomous robotics, with a primary focus on humanoid locomotion, decision-making, and sensor integration. His most impactful work stems from his contributions to the Rhoban Football Club, where he helped secure back-to-back championships at the RoboCup Humanoid Kid-Size League in 2016 and 2017. These achievements, detailed in his highly cited team papers, demonstrate his ability to translate complex control and planning algorithms into winning, real-world performance. Hofer’s research is centered on enabling robots to operate autonomously by modeling decision-making problems as Markov decision processes. He has made significant strides in low-cost sensing, notably developing foot pressure sensors for small humanoid robots, and in improving odometry through machine learning to reduce integration errors on complex terrain. His work on optimizing walk control policies using predictive models and continuous-state solvers further underscores his impact. With over 45 total citations, Hofer’s practical, competition-driven research has advanced the state of the art in affordable, agile humanoid robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Rhoban Football Club: RoboCup Humanoid Kid-Size 2017 Champion Team Paper

   13 citations · 2018
2. 2
   Decision-making algorithms for autonomous robots

   8 citations · 2017
3. 3
   Rhoban Football Club: RoboCup Humanoid Kid-Size 2016 Champion Team Paper

   7 citations · 2017
4. 4
   Learning the odometry on a small humanoid robot

   7 citations · 2016
5. 5
   Low-cost force sensors for small size humanoid robot

   5 citations · 2015
6. 6
   An Operational Method Toward Efficient Walk Control Policies for Humanoid Robots

   3 citations · 2017
7. 7
   Depth-Based Visual Servoing Using Low-Accurate Arm

   2 citations · 2016

Key Collaborators

Contact & Links