1+ week, 2+ day ago   (428+ words) Space-constrained articulated mechanisms integrated into mechatronic assemblies require rigorous kinematic characterisation during preliminary design, since spatial limitations and the avoidance of kinematic locking in the transient regime constrain the admissible geometry. An original planar guidance-and-retraction linkage is analysed, composed of…...

1+ week, 4+ day ago   (297+ words) Robot Operating System (ROS) applications are growing increasingly complex and distributed, incorporating multi-node architectures, real-time communication, and compute offloading to cloud or edge resources. Despite advances in containerization, large-scale robotics deployments often rely on ad hoc provisioning, updating, and scalability…...

1+ week, 5+ day ago   (486+ words) Skeleton-based action recognition via graph convolutional networks (GCNs) has achieved remarkable progress, yet two persistent bottlenecks limit practical deployment: (1) systematic confusion among fine-grained actions that differ primarily in hand or finger movements, which the standard 25-joint skeleton cannot disambiguate; and…...

2+ week, 5+ hour ago   (425+ words) Point cloud semantic segmentation is fundamental for 3D scene understanding and has been widely used in autonomous driving and infrastructure inspection applications. However, its performance is often limited by insufficient representation of local geometric structures and the high cost of point-wise…...

2+ week, 3+ day ago   (495+ words) The four-way shuttle warehouse system (FWSWS), as a form of high-density automated warehousing equipment, is characterized by high storage density, high space utilization, and operational flexibility. The initial configuration of this warehousing system is constrained by spatial layout and equipment…...

3+ week, 1+ day ago   (410+ words) Improving sample efficiency and achieving balanced multi-task performance across different tasks remain important research challenges in reinforcement learning. Yie Ar Kung-Fu is formulated as a multi-task reinforcement learning environment. A task-specific neural network architecture, simplified state and action encoding schemes,…...