5 accepted papers
Recent advances in soft robotics, wearable devices, and deployable systems have sparked tremendous interest in origami structures due to their controllable volume changes and shape-morphing capabilities. Despite significant progress in the design and fabrication of origami using traditional material…
Dynamic modeling and control are critical to unlocking soft robots’ potential, yet remain challenging due to complex constitutive behaviors and real-world operating conditions. Bio-inspired musculoskeletal robots, which integrate rigid skeletons with soft actuators, combine the advantages of heavy l…
Reward models are crucial for aligning large language models (LLMs) with human values and intentions. Existing approaches follow either Generative (GRMs) or Discriminative (DRMs) paradigms, yet both suffer from limitations: GRMs typically demand costly point-wise supervision, while DRMs produce unca…
Recent advances in soft robotics, wearable devices, and deployable systems have sparked tremendous interest in origami structures due to their controllable volume changes and shape-morphing capabilities. Despite significant progress in the design and fabrication of origami using traditional material
Large language models (LLMs) have demonstrated remarkable proficiency in mainstream academic disciplines such as mathematics, physics, and computer science. However, human knowledge encompasses over 200 specialized disciplines, far exceeding the scope of existing benchmarks. The capabilities of LLMs…