Non Humanoid Robot
Non-humanoid robots encompass a diverse range of designs, from multi-legged robots inspired by insects to wheeled and even flapping-wing robots, all aiming to achieve efficient and adaptable locomotion and manipulation in various environments. Current research emphasizes improving robot autonomy through reinforcement learning, particularly for gait generation and task planning, often incorporating large language models (LLMs) for natural language instruction processing and human-robot interaction. These advancements are significant for expanding robotic capabilities in challenging tasks such as cooking, search and rescue, and collaborative assembly, ultimately impacting fields ranging from manufacturing and healthcare to exploration and disaster response.
Papers
AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild
Hongjie Fang, Hao-Shu Fang, Yiming Wang, Jieji Ren, Jingjing Chen, Ruo Zhang, Weiming Wang, Cewu Lu
Realtime Motion Generation with Active Perception Using Attention Mechanism for Cooking Robot
Namiko Saito, Mayu Hiramoto, Ayuna Kubo, Kanata Suzuki, Hiroshi Ito, Shigeki Sugano, Tetsuya Ogata
FurNav: Development and Preliminary Study of a Robot Direction Giver
Bruce W. Wilson, Yann Schlosser, Rayane Tarkany, Meriam Moujahid, Birthe Nesset, Tanvi Dinkar, Verena Rieser
Lifelong Robot Learning with Human Assisted Language Planners
Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, Pulkit Agrawal
Daily Assistive Modular Robot Design Based on Multi-Objective Black-Box Optimization
Kento Kawaharazuka, Tasuku Makabe, Kei Okada, Masayuki Inaba