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
Do Mistakes Matter? Comparing Trust Responses of Different Age Groups to Errors Made by Physically Assistive Robots
Sasha Wald, Kavya Puthuveetil, Zackory Erickson
Informational Embodiment: Computational role of information structure in codes and robots
Alexandre Pitti, Kohei Nakajima, Yasuo Kuniyoshi
Towards Human-Robot Teaming through Augmented Reality and Gaze-Based Attention Control
Yousra Shleibik, Elijah Alabi, Christopher Reardon
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents
Zhiqiang Wang, Hao Zheng, Yunshuang Nie, Wenjun Xu, Qingwei Wang, Hua Ye, Zhe Li, Kaidong Zhang, Xuewen Cheng, Wanxi Dong, Chang Cai, Liang Lin, Feng Zheng, Xiaodan Liang
Bidirectional Intent Communication: A Role for Large Foundation Models
Tim Schreiter, Rishi Hazra, Jens Rüppel, Andrey Rudenko
Swift Trust in Mobile Ad Hoc Human-Robot Teams
Sanja Milivojevic, Mehdi Sobhani, Nicola Webb, Zachary Madin, James Ward, Sagir Yusuf, Chris Baber, Edmund R. Hunt
Behavioral Learning of Dish Rinsing and Scrubbing based on Interruptive Direct Teaching Considering Assistance Rate
Shumpei Wakabayashi, Kento Kawaharazuka, Kei Okada, Masayuki Inaba