Masahiro Bando
Papers
9
Total Citations
58
H-Index
5
About
Masahiro Bando pushes the boundaries of robot locomotion and manipulation, tackling some of robotics' hardest challenges: dynamic cloth handling, high-jumping monopedal robots, and humanoid mobility in extreme terrain. His work on "Dynamic Cloth Manipulation" (15 citations) introduces a deep predictive model with parametric bias to handle variable stiffness and material changes—a breakthrough for flexible object manipulation. With "RAMIEL" (11 citations), he designed a parallel-wire driven monoped capable of continuous, high jumps, advancing legged robots' ability to navigate 3D environments. Bando's "Simultaneous Planning and Estimation Based on Physics Reasoning" (8 citations) unifies tool use, learning from demonstration, and multi-robot cooperation into a single framework. He also developed the musculoskeletal wheeled robot Musashi-W (6 citations), bridging the gap between flexible humanoid bodies and real-world tasks. His work on rappelling humanoids (3 citations) and steep-slope walking with ropes (6 citations) expands robots' vertical mobility. Most recently, his kangaroo-inspired robot design (2 citations) combines powerful legs with an articulated soft tail. With over 50 total citations and a consistent focus on hardware-software co-design, Bando is shaping the future of robots that can jump, climb, manipulate, and adapt to unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 5Walking on a Steep Slope Using a Rope by a Life-Size Humanoid Robot6 citations · 2018
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