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
Gestural and Touchscreen Interaction for Human-Robot Collaboration: a Comparative Study
Antonino Bongiovanni, Alessio De Luca, Luna Gava, Lucrezia Grassi, Marta Lagomarsino, Marco Lapolla, Antonio Marino, Patrick Roncagliolo, Simone Macciò, Alessandro Carfì, Fulvio Mastrogiovanni
Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)
Laurent Frering, Matthias Eder, Bettina Kubicek, Dietrich Albert, Denis Kalkofen, Thomas Gschwandtner, Heimo Krajnz, Gerald Steinbauer-Wagner