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Minoru Asada

3 accepted papers

2024

Correspondence Learning Between Morphologically Different Robots via Task Demonstrations

RA-L 2024

We observe a large variety of robots in terms of their bodies, sensors, and actuators. Given the commonalities in the skill sets, teaching each skill to each different robot independently is inefficient and not scalable when the large variety in the robotic landscape is considered. If we can learn t

Cited by 7SourceScholar
2023

Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration

ICRA 2023poster

Learning from demonstration (LfD) with behavior cloning is attractive for its simplicity; however, compounding errors in long and complex skills can be a hindrance. Considering a target skill as a sequence of motor primitives is helpful in this respect. Then the requirement that a motor primitive en…

Cited by 4SourceScholar
2020

Soft Inductive Tactile Sensor Using Flow-Channel Enclosing Liquid Metal

RA-L 2020

There are structural challenges in increasing the softness of conventional soft tactile sensors because rigid electrical elements have to be installed around the sensing areas, which should be compressive, stretchable, and durable. To solve these issues, we propose an inductive tactile sensor whose

Cited by 29SourceScholar