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
Optimal Allocation of Many Robot Guards for Sweep-Line Coverage
Si Wei Feng, Teng Guo, Jingjin Yu
Flying robots for a smarter life
Abdullatif Baba
Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction
Patrick Holthaus, Trenton Schulz, Gabriella Lakatos, Rebekka Soma
Challenges in Designing Teacher Robots with Motivation Based Gestures
Hae Seon Yun, Volha Taliaronak, Murat Kirtay, Johann Chevelère, Heiko Hübert, Verena V. Hafner, Niels Pinkwart, Rebecca Lazarides