Yifeng Zhu
Description: In recent years, the field of general-purpose robot manipulation has seen exciting progress, showcasing a wide range of success in sensorimotor skill learning. However, unlike research in assembly and logistics manipulations where there are clearly defined, practically/industrially driven tasks to solve, general-purpose robot manipulation research—geared towards everyday situations—lacks community-wise agreement on which robotics tasks are most important to evaluate. To propel this field, our workshop aims
Home Contributions A Future Roadmap for Sensorimotor Skill Learning for Robot Manipulation Location: G6, North
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In recent years, the field of general-purpose robot manipulation has seen exciting progress, showcasing a wide range of success in sensorimotor skill learning. However, unlike research in assembly and logistics manipulations where there are clearly defined, practically/industrially driven tasks to solve, general-purpose robot manipulation research—geared towards everyday situations—lacks community-wise agreement on which robotics tasks are most important to evaluate. To propel this field, our workshop aims
Yifeng Zhu