The design, construction, and use of robots, as well as the use of computer systems for their control, sensory feedback, and information processing.
The study investigates whether incorporating human preferences in Reinforcement Learning (RL) can enhance the transparency of robot behaviours. A shielding mechanism is integrated into the RL algorithm to monitor the…
Continue readingThe paper presents a two-step method for dynamic obstacle avoidance (DOA) in autonomous vehicles, crucial for any vehicle operating in sea, air, or land. The proposed architecture combines supervised and…
Continue readingThis paper introduces Stein Variational Belief Propagation (SVBP), a new algorithm for inference over nonparametric marginal distributions of nodes in a graph. This is applied to multi-robot coordination, modeling a…
Continue readingThe article presents a new approach to controlling quadcopters for time-optimal flight using end-to-end reinforcement learning (E2E). Traditional quadcopter control methods face difficulties with unmodeled effects. Recent advancements have brought…
Continue readingDiffuseBot, as presented in this paper, is a revolutionary step in the field of soft robotics and virtual creature content creation. It leverages diffusion-based algorithms for the co-design of soft…
Continue readingThe paper discusses a novel Deep Reinforcement Learning (DRL) algorithm for designing optimal control policies for robots in unknown environments. The algorithm uses a mission-driven exploration strategy to prioritize exploration…
Continue readingThe article introduces RFTrans, an RGB-D-based method for surface normal estimation and manipulation of transparent objects by leveraging refractive flow. The system includes the RFNet, which predicts refractive flow, object…
Continue readingThis study introduces a new method for detecting holes in edge-manifold triangular meshes, even in the presence of singular vertices. The technique is especially valuable in the Computer-Aided Design (CAD)…
Continue readingThe article presents a method for extracting planar regions in uneven terrains from unordered point cloud measurements, which is crucial for robotic locomotion. The proposed multi-resolution planar region extraction strategy…
Continue readingMobile-Seed is a lightweight, dual-task framework designed for simultaneous semantic segmentation and boundary detection. It’s essential for numerous robotic tasks such as robot grasping, real-time semantic mapping, and sensor calibration….
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
