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
Addressing Non-Intervention Challenges via Resilient Robotics utilizing a Digital Twin
Sam Harper, Shivoh Nandakumar, Daniel Mitchell, Jamie Blanche, Theodore Lim, David Flynn
Synthesis and Execution of Communicative Robotic Movements with Generative Adversarial Networks
Luca Garello, Linda Lastrico, Alessandra Sciutti, Nicoletta Noceti, Fulvio Mastrogiovanni, Francesco Rea
Motron: Multimodal Probabilistic Human Motion Forecasting
Tim Salzmann, Marco Pavone, Markus Ryll
Comparing lifetime learning methods for morphologically evolving robots
Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben
A Hierarchical Approach to Active Pose Estimation
Jascha Hellwig, Mark Baierl, Joao Carvalho, Julen Urain, Jan Peters
Gaka-chu: a self-employed autonomous robot artist
Eduardo Castelló Ferrer, Ivan Berman, Aleksandr Kapitonov, Vadim Manaenko, Makar Chernyaev, Pavel Tarasov
Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces
Ryo Suzuki, Adnan Karim, Tian Xia, Hooman Hedayati, Nicolai Marquardt