Results 121 to 130 of about 7,734,831 (297)

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Generative Image Steganography Based on Point Cloud

Abstract In deep steganography, the model size is usually related to the underlying mesh resolution, and a separate neural network needs to be trained as a message extractor. In this paper, we propose a generative image steganography based on point cloud representation, which represents image data as a point cloud, learns the distribution of ...
Yangjie Zhong, Jia Liu 0016, Meiqi Liu, Yan Ke, Minqing Zhang   +4 more
openaire   +2 more sources

Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint [PDF]

Diffusion models have been popular for point cloud generation tasks. Existing works utilize the forward diffusion process to convert the original point distribution into a noise distribution and then learn the reverse diffusion process to recover the ...
Li, Yukun, Liu, Liping
core  

Saint Cloud Reporter [Winter 1968] [PDF]

, 1968
Saint Cloud Reporter, Winter 1968https://repository.stcloudstate.edu/magazines/1120/thumbnail ...
St. Cloud State University
core  

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

Saint Cloud Reporter [Spring 1968] [PDF]

, 1968
Saint Cloud Reporter, Spring 1968https://repository.stcloudstate.edu/magazines/1119/thumbnail ...
St. Cloud State University
core  

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Point Cloud Upsampling for Accurate Surface Reconstruction via Attention-Guided Generation

IEEE Access
Reconstructing accurate surfaces from sparse point clouds remains a fundamental challenge in 3D vision. In this paper, we propose a novel upsampling framework, called Surf-PU, that focuses on surface-aware point generation.
Jong-Su Won, Jong-Ki Han
doaj   +1 more source

Saint Cloud Reporter [Autumn 1966] [PDF]

, 1966
Saint Cloud Reporter, Autumn 1966https://repository.stcloudstate.edu/magazines/1115/thumbnail ...
St. Cloud State University
core  

Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems

Advanced Robotics Research, EarlyView.
A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley   +1 more source