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
Semantic-based Loco-Manipulation for Human-Robot Collaboration in Industrial Environments
Federico Rollo, Gennaro Raiola, Nikolaos Tsagarakis, Marco Roveri, Enrico Mingo Hoffman, Arash Ajoudani
A utility belt for an agricultural robot: reflection-in-action for applied design research
Natalie Friedman, Asmita Mehta, Kari Love, Alexandra Bremers, Awsaf Ahmed, Wendy Ju
LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot Systems
Artem Lykov, Maria Dronova, Nikolay Naglov, Mikhail Litvinov, Sergei Satsevich, Artem Bazhenov, Vladimir Berman, Aleksei Shcherbak, Dzmitry Tsetserukou
How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots
Niklas Hemken, Florian Jacob, Fabian Peller-Konrad, Rainer Kartmann, Tamim Asfour, Hannes Hartenstein