output
20142026
most citedCE-Net: Context Encoder Network for 2D Medical Image Segmentation

2.3k citations

Showing 2024 · cs.ROShow all

6 papers · 2 filters

cs.RO2024★ 3 cited

NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks

Jiaping Ren, Jiahao Xiang, Hongfei Gao +6

Fuel efficiency is a crucial aspect of long-distance cargo transportation by oil-powered trucks that economize on costs and decrease carbon emissions. Current predictive control me…

cs.RO2024★ 7 cited

Bimanual Grasp Synthesis for Dexterous Robot Hands

Yanming Shao, Chenxi Xiao

Humans naturally perform bimanual skills to handle large and heavy objects. To enhance robots' object manipulation capabilities, generating effective bimanual grasp poses is essent…

cs.RO2024★ 3 cited

Fast Extrinsic Calibration for Multiple Inertial Measurement Units in Visual-Inertial System

Youwei Yu, Yanqing Liu, Fengjie Fu +5

In this paper, we propose a fast extrinsic calibration method for fusing multiple inertial measurement units (MIMU) to improve visual-inertial odometry (VIO) localization accuracy.…

cs.RO2024★ 8 cited

Learning Agile Swimming: An End-to-End Approach without CPGs

Xiaozhu Lin, Xiaopei Liu, Yang Wang

The pursuit of agile and efficient underwater robots, especially bio-mimetic robotic fish, has been impeded by challenges in creating motion controllers that are able to fully expl…

cs.RO2024★ 22 cited

Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes

Jingping Wang, Tingrui Zhang, Qixuan Zhang +5

In the field of trajectory generation for objects, ensuring continuous collision-free motion remains a huge challenge, especially for non-convex geometries and complex environments…

cs.RO2024★ 17 cited

RealDex: Towards Human-like Grasping for Robotic Dexterous Hand

Yumeng Liu, Yaxun Yang, Youzhuo Wang +9

In this paper, we introduce RealDex, a pioneering dataset capturing authentic dexterous hand grasping motions infused with human behavioral patterns, enriched by multi-view and mul…