About

Kazuya Otani is a robotics researcher whose work centers on humanoid robot control, human-robot collaboration, and motion retargeting — areas that sit at the intersection of biomechanics, control theory, and artificial intelligence. His research addresses one of the most challenging frontiers in robotics: enabling humanoid systems to operate fluidly alongside humans in dynamic, contact-rich environments. Among his most influential contributions is a framework for adaptive whole-body manipulation that allows humanoid robots to track and replicate complex human motions while automatically compensating for physical differences in their environment — a breakthrough in loco-manipulation retargeting that has earned 23 citations. Building on this, Otani developed a multi-robot quadratic program controller enabling real-time humanoid assistance during co-manipulation tasks, carefully balancing interaction forces, task objectives, and robot stability — work that has accumulated 21 citations. Taken together, his contributions advance the practical deployment of humanoid robots as genuine collaborative partners, rather than mere tools. For students and researchers working on assistive robotics, whole-body control, or human-robot interaction, Otani's publications offer both rigorous theoretical grounding and concrete implementation strategies that push the boundaries of what collaborative humanoid systems can achieve.

Research Focus

Key Achievements

2
H-Index
2
Papers
44
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive whole-body manipulation in human-to-humanoid multi-contact motion retargeting
23 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Centre National de la Recherche Scientifique, Laboratoire Lorrain de Recherche en Informatique et ses Applications

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago