9 accepted papers
In this paper, we tackle real-time formation trajectory planning for collaborative object transportation in complex environments using a team of nonholonomic robots and a human. The object is transported in a deformable sheet, and robots should follow the human’s lead while autonomously avoiding obs…
Asynchronous single-photon LiDAR (SP-LiDAR) is an important imaging modality for high-quality 3D applications and navigation, but the modeling of the timestamp distributions of a SP-LiDAR in the presence of dead time remains a very challenging open problem. Prior works have shown that timestamps for…
As the demand for three-dimensional operations grows, wall-climbing robots must traverse complex curved surfaces featuring discontinuous curvatures and abrupt transitions between planes, cylinders, and spheres. Traditional rigid structures often fail to maintain stable, conformal adhesion under such
Daily cleaning and maintenance of high-altitude pipes and curved surfaces in high-altitude buildings are high-risk tasks for human workers. Advanced robots are increasingly deployed to address such challenges to reduce risks. Currently, robots are widely used for cleaning buildings with flat walls,
Regular cleaning and maintenance of high-altitude pipes and curved surfaces on high-rise buildings are high-risk tasks for human workers due to the difficulty of working on curved planes. To address such challenge, automated robots are widely used for cleaning buildings with flat walls, but they can
In this paper, we address multi-robot formation planning where nonholonomic robots collaboratively transport objects using a deformable sheet in unstructured, cluttered environments. The formation can expand or contract to adjust the height of the object on the sheet. However, interactions between t
A common task in cinematography is tracking a subject or character through a scene. For complex setups, multiple cameras must track the subject simultaneously to attain sufficient coverage. Recently, researchers have considered using multiple camera-mounted autonomous mobile robots for this task. Ex
Distributional Reinforcement Learning (DRL) not only endeavors to optimize expected returns, but also strives to accurately characterize the full distribution of these returns, a key aspect in enhancing risk-aware decision-making. Previous DRL implementations often inappropriately treat statistical…
Single-photon Light Detection and Ranging (LiDAR) systems are often equipped with an array of detectors for improved spatial resolution and sensing speed. However given a fixed amount of flux produced by the laser transmitter across the scene the per-pixel Signal-to-Noise Ratio (SNR) will decrease w…