Results 81 to 90 of about 64,265 (283)

Low Power Depth Estimation of Rigid Objects for Time-of-Flight Imaging

, 2019
Depth sensing is useful in a variety of applications that range from augmented reality to robotics. Time-of-flight (TOF) cameras are appealing because they obtain dense depth measurements with minimal latency.
Noraky, James, Sze, Vivienne
core   +1 more source

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

3D‑RGB Point Cloud Imaging Based on Data‑Level Fusion of 2D LiDAR and Multi‑view Camera

Shuju Caiji Yu Chuli
Currently， LiDAR- and vision-based 3D reconstruction technologies are widely used in terrain scene measurement. Although various 3D imaging methods based on LiDAR and cameras have been developed， each has limitations. RGB-D cameras can capture both color
TIAN Minghao, LI Pan, YAN Su, WU Xueliang, XU Luping, YAN Bo   +5 more
doaj   +1 more source

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

Empirical Comparison of Four Stereoscopic Depth Sensing Cameras for Robotics Applications

IEEE Access
Depth sensing is an essential technology in robotics and many other fields. Many depth sensing (or RGB-D) cameras are available on the market and selecting the best one for your application can be challenging.
Lukas Rustler, Vojtech Volprecht, Matej Hoffmann   +2 more
doaj   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

A Novel RGB-D Camera Based Dataset for Spacecraft Pose Estimation

Space: Science & Technology
In the field of close-proximity space operations, RGB-D cameras have been used widely. However, publicly available spacecraft datasets for pose estimation are primarily based solely on image data.
Hanxue Zhao, Jiaqian Hu, Guangze Wang, Jin Sha, Xuxing Huang, Bingheng Wang, Shuang Li   +6 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Deep Depth From Focus

, 2018
Depth from focus (DFF) is one of the classical ill-posed inverse problems in computer vision. Most approaches recover the depth at each pixel based on the focal setting which exhibits maximal sharpness. Yet, it is not obvious how to reliably estimate the
A Thelen, C Hazirbas, E Adelson, F Liu, J Park, K Honauer, M Mahmood, M Moeller, O Russakovsky, R Garg, S Pertuz, V Badrinarayanan, Y Bok   +12 more
core   +1 more source