Robots play an important role in unmanned machining by automating operations around machine tools and directly performing machining processes. This paper reviews the current status of robotic technologies for unmanned ...

This study proposes a hardware–learning–validation pipeline for reliably deploying Reinforcement Learning (RL)-based walking policies onto actual bipedal robots, along with a combined learning structure using the Single ...

With the advancement of automation in industrial equipment, the need for precise and real-time process monitoring has become increasingly critical. Digital twins and artificial intelligence (AI) have emerged as promising ...

This paper presents a Simulation-to-Reality (Sim2Real) framework for robotic pick-and-place applications in unstructured and dynamic environments using deep reinforcement learning (DRL). A control policy is developed ...

Linear motor stages provide high acceleration and direct-drive advantages for precision positioning; however, their performance is degraded by modeling uncertainties, disturbances, and command-induced errors. Feedforward ...

High-quality robot learning data is essential for advancing Vision-Language-Action (VLA) models, yet collecting it at scale remains the primary bottleneck in their development. This bottleneck is further amplified for ...

Conventionally, human-aware navigation systems rely solely on onboard sensors, and due to the limited ranges of the sensors, it is difficult to detect pedestrians in blind spots. In this study, we propose an indoor human-aware ...

Vision-Language Models (VLMs) have emerged as a powerful paradigm for multi-stage robotic manipulation. Although recent frameworks like ReflectVLM have introduced visual reflection via dynamic models, they often suffer ...

Robotic grasping is a cornerstone of manufacturing automation, and recent advances in deep learning have brought data-driven adaptability to vision-based grasping. However, achieving human-like performance in cluttered ...

Purpose: Circumferential resection margin (CRM) involvement after intersphincteric resection (ISR) is uncommon but clinically important. We evaluated the association of CRM status and adverse histopathologic features with ...