14 accepted papers
This letter proposes a mole-inspired scratch-digging robot to investigate four-limb subsurface locomotion in granular media. The robot integrated a conical head, a rigid torso, a hybrid crank-rocker and crank-slider forelimb that reproduces scratch-digging strokes, and a two-degree-of-freedom (DOF)
Hybrid representation Visual Simultaneous Localization and Mapping (VSLAM) systems combine the inherent strengths of both discrete and field representations. They promise high-precision tracking and photo-realistic dense mapping. However, current keyframe selection methods in hybrid representation V…
Although the LiDAR SLAM technique has been already widely deployed on various robots, it may still suffers from degeneracy caused by inadequate constraints in scenes with sparse geometric features. If the degeneracy is not detected and properly processed, the accuracy of localization and mapping wil
Keyframe selection plays a crucial role in balancing computational efficiency and localization accuracy in Visual Simultaneous Localization and Mapping (VSLAM) systems. Existing keyframe selection methods often struggle to capture high-level semantic information in environments where multiple semant
Although Bayesian interaction primitives exhibit strong capabilities in skill learning and reproduction for physical human–robot interactions, they require extensive demonstrations and fail to adequately address the inherent geometric constraints. In this study, we propose the iRie-ProMPs method, ba
Limited by the working principles, LiDAR-SLAM systems suffer from the degeneration phenomenon in environments such as long corridors and tunnels, due to the lack of sufficient geometric features for frame-to-frame matching. The accuracy and sensitivity of existing degeneracy detection methods need t…
Conventional mobile robots typically include a single locomotion mode and require additional arms to transport objects. To address the challenges of traversing in diverse environments and transporting objects, a novel transformable multi-mode Mecanum-wheeled mobile robot is proposed in this paper. O
The Southeast Asia frog (Euphlyctis hexadactylus), a natural jumping expert in water, demonstrates exceptional jumping capability by contracting its leg muscles and coordinating its flippers to propel itself out of water, significantly aiding its hunting activities. This bionic behavior serves as a
As a hard high-altitude work, power transmission line inspection increasingly demands robots to conduct in place of the human being. A variety of robots have been developed to this end, with basic locomotion and inspection implemented on the lines. However, most current line inspection robots (LIRs)…
Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D human pose estimation. Previous methods have focused on either temporal contexts or local-to-global architectures that embed fixed-length spatiotemporal information. To date, there have not been effective proposals to…
Soft climbing robots have been attracting increasing attention in soft robotics community, and a lot of prototypes been proposed with basic climbing function implemented. Climbing on poles is a challenge with soft robots, and the capability of current pole-climbing soft robots needs to be improved i…
Climbing or crawling robots may be widely applied in agriculture, forestry, military, construction industry, disaster searching and rescuing, and so on. Soft robots possess better safety, flexibility, dexterity, portability, and adaption to complex environments than traditional robots. However, ther…
Automating item picking in the e-commerce warehouse is pressing but challenging, due to a massive variety of items, tight environmental constraints and item location uncertainty. In this paper, we present an effective and efficient strategy-based planning approach to implement the robotic picking fr…