Technology

Task-Adaptive Machine Vision Intelligence

One of the major challenges in vision guided robotic intelligence in industrial automation is the large variaty and unpredicatable shape of target objects. Traditionally, reliable recognition of parts requires highly specialized customization and careful tuning of algorithm parameters, which makes these solutions expensive and difficult to deploy in massive scale. Our task-adaptive machine vision technology is able to adapt to parts of different shapes automatically. No customization or parameter tunning is required.

Deterministic Path Planning for 6-axis Robotic Arms

The most popular path planning algorithms, such as RRT or PRM, are sampling based approaches. Such probabilistic behavior are making safety-critical applications challenging. We have developed an efficient deterministic path planning system for 6D-axis robotic arms. This algorithm is robust and fast compared to classical methods. It is able to find feasible paths in real-time in extremely constrained environments.

Research papers and patents

Bin picking (also referred to as random bin picking) is a core problem in computer vision and robotics. The goal is to have a robot with sensors and cameras attached to it pick-up known objects with random poses out of a bin using a suction gripper, parallel gripper, or other kind of robot end effector.

An end-to-end High precision shape modeling method for industrial parts, CN Patent No. ZL 2020 1 0280473.7
A high precision image semantic segmentation algorithm and method, CN Patent No. ZL 2020 1 0281360.9
A high precision image semantic segmentation method for industrial parts, CN Patent No. ZL 2020 1 0281361.3
A shape-matching-based 3D object detection and pose estimation from point cloud, CN Patent No. ZL 2020 1 0287173.1
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel

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