Iris: Implicit reinforcement without interaction at scale for learning control from offline robot manipulation data

A Mandlekar, F Ramos, B Boots… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Learning from offline task demonstrations is a problem of great interest in robotics. For
simple short-horizon manipulation tasks with modest variation in task instances, offline …

Surface reconstruction from point clouds: A survey and a benchmark

Z Huang, Y Wen, Z Wang, J Ren, K Jia - arXiv preprint arXiv:2205.02413, 2022 - arxiv.org
Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete
point cloud observation is a long-standing problem. The problem is technically ill-posed, and …

RGBD datasets: Past, present and future

M Firman - Proceedings of the IEEE conference on computer …, 2016 - cv-foundation.org
Since the launch of the Microsoft Kinect, scores of RGBD datasets have been released.
These have propelled advances in areas from reconstruction to gesture recognition. In this …

Industrial big data analysis in smart factory: Current status and research strategies

X Xu, Q Hua - Ieee Access, 2017 - ieeexplore.ieee.org
Under the background of cyber-physical systems and Industry 4.0, intelligent manufacturing
has become an orientation and produced a revolutionary change. Compared with the …

Unseen object amodal instance segmentation via hierarchical occlusion modeling

S Back, J Lee, T Kim, S Noh, R Kang… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Instance-aware segmentation of unseen objects is essential for a robotic system in an
unstructured environment. Although previous works achieved encouraging results, they …

Toward human-like grasp: Dexterous grasping via semantic representation of object-hand

T Zhu, R Wu, X Lin, Y Sun - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
In recent years, many dexterous robotic hands have been designed to assist or replace
human hands in executing various tasks. But how to teach them to perform dexterous …

Grasping detection of dual manipulators based on Markov decision process with neural network

J Yun, D Jiang, L Huang, B Tao, S Liao, Y Liu, X Liu… - Neural Networks, 2024 - Elsevier
With the development of artificial intelligence, robots are widely used in various fields,
grasping detection has been the focus of intelligent robot research. A dual manipulator …

Pyrobot: An open-source robotics framework for research and benchmarking

A Murali, T Chen, KV Alwala, D Gandhi, L Pinto… - arXiv preprint arXiv …, 2019 - arxiv.org
This paper introduces PyRobot, an open-source robotics framework for research and
benchmarking. PyRobot is a light-weight, high-level interface on top of ROS that provides a …

Ros reality: A virtual reality framework using consumer-grade hardware for ros-enabled robots

D Whitney, E Rosen, D Ullman… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
Virtual reality (VR) systems let users intuitively interact with 3D environments and have been
used extensively for robotic teleoperation tasks. While more immersive than their 2D …

Efficient next-best-scan planning for autonomous 3D surface reconstruction of unknown objects

S Kriegel, C Rink, T Bodenmüller, M Suppa - Journal of Real-Time Image …, 2015 - Springer
This work focuses on autonomous surface reconstruction of small-scale objects with a robot
and a 3D sensor. The aim is a high-quality surface model allowing for robotic applications …