9 accepted papers
Curb following is a critical technology for autonomous road sweeping vehicles. However, existing solutions face two primary challenges: unreliable curb detection and inefficient motion generation. Unreliable curb detection stems from the wide variability in curb dimensions and types, as well as inte…
Accurate Six Degrees of Freedom (6-DoF) pose estimation of Ship-To-Shore (STS) quay crane spreaders is crucial for ensuring safe and efficient container handling in port automation. However, existing pose estimation techniques face significant challenges, as camera-based systems either rely on marke
Video streaming based teleoperation often faces a trade-off between bandwidth consumption and the need for high-fidelity telepresence. Higher image resolution or a wider field of view (FOV) substantially increases bandwidth requirements. In this paper, we propose a novel telepresence model for teleo
Vision-assisted container loading of Rubber Tyred Gantry (RTG) cranes are facing two primary challenges. Firstly, the uncertainty inherent in Covolutional Neural Network (CNN) based detection hinders its direct application in the safety-critical operation of such heavy-duty machinery. Secondly, sens…
Navigating robots through dynamic multi-robot environments, avoiding collisions with both other robots and obstacles, has emerged as a central challenge in robotics. The existing approaches fall short in allowing the policy network to effectively capture spatial-temporal reciprocal collision avoidan…
Curb following is a key technology for autonomous road sweeping vehicles. Currently, existing implementations primarily involve pre-recording waypoints during human driving and subsequently retracing them autonomously. Moreover, existing research related to this topic predominately focuses on curb d…
Traditional teleoperation technologies based on video streaming are facing several challenges in practical applications, including limited bandwidth, constrained spatial awareness, and sensitivity to illumination. Existing studies have not adequately addressed these issues. This paper presents a nov
Collaborative heterogeneous robots are expected to perform comprehensive perception, mapping and coordination in search and rescue scenarios. The challenge of collaboration between heterogeneous robots lies in their huge differences in perception, mobility and processing capabilities. In this paper,…
Performing collaborative semantic mapping is a critical challenge for cooperative robots to maintain a comprehensive contextual understanding of the surroundings. Most of the existing work either focus on single robot semantic mapping or collaborative geometry mapping. In this paper, a novel hierarc…