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
Computer-Vision Based Real Time Waypoint Generation for Autonomous Vineyard Navigation with Quadruped Robots
Lee Milburn, Juan Gamba, Miguel Fernandes, Claudio Semini
Evolution of linkages for prototyping of linkage based robots
Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes Nygaard, Kyrre Glette
Robust Body Exposure (RoBE): A Graph-based Dynamics Modeling Approach to Manipulating Blankets over People
Kavya Puthuveetil, Sasha Wald, Atharva Pusalkar, Pratyusha Karnati, Zackory Erickson
Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned
Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks
Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith
In Sync: Exploring Synchronization to Increase Trust Between Humans and Non-humanoid Robots
Wieslaw Bartkowski, Andrzej Nowak, Filip Ignacy Czajkowski, Albrecht Schmidt, Florian Müller