9 accepted papers
Pectoral-fin-based (labriform) swimming combines high-speed propulsion with agile maneuverability through rigid-flexible fin partitioning. Inspired by this principle, we present a multi-stable soft robotic swimmer composed of two wedge-shaped bistable actuators integrated with fin-like rigid-flexibl
Twisted and coiled polymer (TCP) artificial muscles offer high energy density and large deformation, but achieving reliable closed-loop control remains difficult due to time-temperature-dependent parameter drift, structural variability, and labor-intensive control parameter tuning, which accelerate
Multi-behavior sequential recommendation aims to capture users
Pre-trained foundation models have recently made significant progress in table-related tasks such as table understanding and reasoning. However, recognizing the structure and content of unstructured tables using Vision Large Language Models (VLLMs) remains under-explored. To bridge this gap, we prop
Soft robotic arms exhibit high deformability and degrees of freedom, which brings challenges in modeling accuracy and susceptibility to gravitational effects, resulting in imprecise control. This study proposes a reinforcement learning control strategy based on a hybrid model for precise control of
Manta rays exhibit complex motion behavior through their flexible fins. This study proposes a novel manta ray-inspired soft robotic swimmer with bistable flapping wings for high-speed and multi-modal swimming. The wings are created with prestressed bistable composite and actuated by small McKibben a…
This letter proposes novel variable-curvature soft helical actuators (VC-SHAs) using fluidic prestressed composites (FPCs) for enhanced grasping performance. A third-order three-dimensional chained composite model called 3D-CCM is developed to pre-program variable curvatures of SHAs and predict thei
User embeddings (vectorized representations of a user) are essential in recommendation systems. Numerous approaches have been proposed to construct a representation for the user in order to find similar items for retrieval tasks, and they have been proven effective in industrial recommendation syste…
High injury severity occurs when a stiff robot arm hits an operator. Introducing compliance into robot systems reduces the impact and enables safe interaction, but at the expense of positioning performance and payload capacity. This paper presents a tunable stiffness mechanism for safe human-robot i…