8 accepted papers
Large components, such as wind turbine blades, often exhibit significant curvature variations, presenting substantial challenges for climbing robots. To improve the adaptability and mobility of hexapod climbing robots on such surfaces, we propose a Curvature-Adaptive Hexapod robot system. The mechan
Traversing across adjacent planes is an important ability for legged climbing robots. While many robots can achieve autonomous ground-to-wall transitions, most are limited to scenarios where the angle between the planes has a certain value. In some cases, however, the robot needs to traverse planes
We present the design and implementation of a large-scale tail-sitter aircraft with vertical takeoff and landing (VTOL) capabilities. The aircraft was designed with an H-shaped configuration and incorporated canards to enhance longitudinal stability. The structural design was optimized to balance me
In this paper, we present a navigation framework for wheeled robots operating in uneven environments. Considering the sparsity of the moving surface along the Z-axis, we introduce a novel map representation, namely Surfelgrid. Surfelgrid uses surfels to represent geometric features of the local area
We study a federated linear bandits model, where $M$ clients communicate with a central server to solve a linear contextual bandits problem with finite adversarial action sets that may be different across clients. To address the unique challenges of **adversarial finite** action sets, we propose the…
Navigation functions provide both path and motion planning, which can be used to ensure obstacle avoidance and convergence in the sphere world. When dealing with complex and realistic scenarios, constructing a transformation to the sphere world is essential and, at the same time, challenging. This w
Image guided depth completion is the task of generating a dense depth map from a sparse depth map and a high quality image. In this task, how to fuse the color and depth modalities plays an important role in achieving good performance. This paper proposes a two-branch backbone that consists of a col…
We propose and investigate two new methods to approximate f(A)b for large, sparse, Hermitian matrices A. Computations of this form play an important role in numerous signal processing and machine learning tasks. The main idea behind both methods is to first estimate the spectral density of A, and th…