Rawichote Chalodhorn

About

Rawichote Chalodhorn is a pioneering robotics and human-computer interaction researcher whose work sits at the intersection of humanoid robotics, machine learning, and brain-computer interfaces (BCIs). He is perhaps best known for his landmark 2008 study, "Control of a Humanoid Robot by a Noninvasive Brain-Computer Interface in Humans," which demonstrated for the first time that EEG-based brain signals captured non-invasively from the scalp could directly control a humanoid robot — a breakthrough that has since garnered nearly 400 citations and reshaped thinking in assistive technology and neuroprosthetics. Beyond BCIs, Chalodhorn has made significant contributions to imitation learning in robotics, developing probabilistic and dimensionality-reduction frameworks that enable humanoid robots to replicate complex human motion from motion-capture data without requiring explicit physical models. His 2006 work on Bayesian inference for whole-body motion imitation (98 citations) and subsequent demonstrations of learned bipedal walking (2007, 44 citations) reflect his commitment to data-driven, model-free approaches to robot control. Throughout his career, Chalodhorn has advanced the field's understanding of how robots can autonomously acquire human-like behaviors, making him an influential figure in intelligent robotics and human-robot interaction research.

Research Focus

Key Achievements

Top Papers

1. 1
   Control of a humanoid robot by a noninvasive brain–computer interface in humans

   389 citations · 2008
2. 2
   Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference

   98 citations · 2006
3. 3
   Learning to walk through imitation

   44 citations · 2007
4. 4
   Learning humanoid motion dynamics through sensory-motor mapping in reduced dimensional spaces

   19 citations · 2006
5. 5
   Humanoid Robot Motion Recognition and Reproduction

   15 citations · 2009
6. 6
   Periodic nonlinear principal component neural networks for humanoid motion segmentation, generalization, and generation

   10 citations · 2004
7. 7
   Learning to Imitate Human Actions through Eigenposes

   9 citations · 2009
8. 8
   Learning to Walk by Imitation in Low-Dimensional Subspaces

   8 citations · 2010
9. 9
   Learning dynamic humanoid motion using predictive control in low dimensional subspaces

   8 citations · 2006
10. 10
    An Image-based Brain-Computer Interface Using the P3 Response

    7 citations · 2007

Key Collaborators

Contact & Links