Prof. Kenji Shimada — Research Profile
Carnegie Mellon University · Mechanical Engineering
About
카네기멜런 대학교 기계공학과 소속 Kenji Shimada 교수의 등록된 연구 분야는 Computational geometry, Computational design, Robotics, Machine learning, Medical devices입니다.
Research keywords
Recent papers
- Ego2Contact: Predicting Touch from Egocentric Human Video for Contact-Rich Robot ManipulationNewPreprintarXiv (Cornell University) · Oct 16
- TouchScale: 500 Hours of Human Vision and Touch for Visual-Tactile LearningPreprintarXiv (Cornell University) · Oct 7
- Pose-aware Legged Robot Semantic Exploration with Omnidirectional Perception in Confined Unknown EnvironmentsPreprintarXiv (Cornell University) · Sep 16
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Robot Manipulation and Learning
Pieter Abbeel 교수 연구실
University of California, Berkeley · Electrical Engineering and Computer Sciences
GOTT: Object-centric Dexterous Manipulation with a Reusable Cross-Embodiment PrimitiveNewPreprintarXiv (Cornell University) · Oct 2Jeannette Bohg 교수 연구실
Stanford University · Computer Science
SoTa: Soft Tactile Skins for Dexterous ManipulationPreprintarXiv (Cornell University) · Oct 1Masayoshi Tomizuka 교수 연구실
University of California, Berkeley · Mechanical Engineering
A Reconfigurable Dual-Opposition Architecture for Single-Hand Assembly and ManipulationPreprintarXiv (Cornell University) · Sep 19
Other labs in this department
- Aaron Johnson 교수 연구실
Robotics, Legged and aerial robotics, Controls and automation, Bioinspired robotics
- Alan McGaughey 교수 연구실
Energy, Transport phenomena, Nanoscience, Multiscale modeling, Materials science
- Amir Barati Farimani 교수 연구실
Machine learning, Computational fluid dynamics, Computational modeling, Robotics, Digital twins
- Burak Ozdoganlar 교수 연구실
Advanced manufacturing, Micro/nanoengineering, Biomanufacturing, Precision engineering, Medical devices
- Carmel Majidi 교수 연구실
Soft robotics, Wearable robotics, Advanced manufacturing, Micro/nanoengineering
- Christopher McComb 교수 연구실
Machine learning, Engineering design, Human-AI teaming, Generative design