Search Results - "IEEE International Conference on Automation Science and Engineering"

Toward safe close-proximity human-robot interaction with standard industrial robots by Lasota, Przemyslaw A., Rossano, Gregory F., Shah, Julie A.

“…Allowing humans and robots to interact in close proximity to each other has great potential for increasing the effectiveness of human-robot teams across a…”
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Surface Defect Saliency of Magnetic Tile by Huang, Yibin, Qiu, Congying, Guo, Yue, Wang, Xiaonan, Yuan, Kui

“…Vision-based detection on surface defects has long postulated in the magnetic tile automation process. In this work, we introduce a real-time and multi-module…”
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A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems by Qamsane, Yassine, Chen, Chien-Ying, Balta, Efe C., Kao, Bin-Chou, Mohan, Sibin, Moyne, James, Tilbury, Dawn, Barton, Kira

“…Digital Twin (DT) is one of the key enabling technologies for realizing the promise of Smart Manufacturing (SM) and Industry 4.0 to improve production systems…”
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Autonomous alignment of peg and hole by force/torque measurement for robotic assembly by Te Tang, Hsien-Chung Lin, Yu Zhao, Wenjie Chen, Tomizuka, Masayoshi

“…In the past years, many methods have been developed for robotic peg-hole-insertion to automate the assembly process. However, many of them are based on the…”
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Detection model of invisible weld defects using magneto-optical imaging induced by rotating magnetic field by Li, Yanfeng, Gao, Xiangdong, Zhang, Yanxi, You, Deyong, Wang, Congyi, Song, Yaowu, Zhang, Nanfeng

“…Magneto-optical (MO) imaging non-destructive testing (NDT) system excited by rotating magnetic field is proposed for feature extraction and detection…”
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Investigation of Deep Learning for Real-Time Melt Pool Classification in Additive Manufacturing by Yang, Zhuo, Lu, Yan, Yeung, Ho, Krishnamurty, Sundar

“…Consistent melt pool geometry is an indicator of a stable laser powder bed fusion (L-PBF) additive manufacturing process. Melt pool size and shape reflect the…”
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Persistent multi-UAV surveillance with energy and communication constraints by Scherer, Jurgen, Rinner, Bernhard

“…Multiple unmanned aerial vehicles (UAVs) are increasingly applied for surveillance tasks such as disaster management and environmental monitoring. Due to…”
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Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot by Liang, Jacky, Mahler, Jeffrey, Laskey, Michael, Pusong Li, Goldberg, Ken

“…Deep Learning from Demonstrations (Deep LfD) is a promising approach for robots to perform precise bilateral automation tasks involving contact and…”
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LazyDAgger: Reducing Context Switching in Interactive Imitation Learning by Hoque, Ryan, Balakrishna, Ashwin, Putterman, Carl, Luo, Michael, Brown, Daniel S., Seita, Daniel, Thananjeyan, Brijen, Novoseller, Ellen, Goldberg, Ken

“…Corrective interventions while a robot is learning to automate a task provide an intuitive method for a human supervisor to assist the robot and convey…”
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Linear Push Policies to Increase Grasp Access for Robot Bin Picking by Danielczuk, Michael, Mahler, Jeffrey, Correa, Chris, Goldberg, Ken

“…To facilitate automated bin picking when parts cannot be grasped, pushing actions have the potential to separate objects and move them away from bin walls and…”
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OFFSEG: A Semantic Segmentation Framework For Off-Road Driving by Viswanath, Kasi, Singh, Kartikeya, Jiang, Peng, Sujit, P.B., Saripalli, Srikanth

“…Off-road image semantic segmentation is challenging due to the presence of uneven terrain, unstructured class boundaries, irregular features and strong…”
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Devices, systems, and methods for automated monitoring enabling precision agriculture by Das, Jnaneshwar, Cross, Gareth, Chao Qu, Makineni, Anurag, Tokekar, Pratap, Mulgaonkar, Yash, Kumar, Vijay

“…Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice…”
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3D Printing of Nonplanar Layers for Smooth Surface Generation by Ahlers, Daniel, Wasserfall, Florens, Hendrich, Norman, Zhang, Jianwei

“…Additive manufacturing processes are inherently subject to discretization effects. For most technologies, stairstepping artifacts impair the surface quality of…”
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Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations by Laskey, Michael, Lee, Jonathan, Chuck, Caleb, Gealy, David, Hsieh, Wesley, Pokorny, Florian T., Dragan, Anca D., Goldberg, Ken

“…For applications such as Amazon warehouse order fulfillment, robots must grasp a desired object amid clutter: other objects that block direct access. This can…”
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Robotic Grasping using Deep Reinforcement Learning by Joshi, Shirin, Kumra, Sulabh, Sahin, Ferat

“…In this work, we present a deep reinforcement learning based method to solve the problem of robotic grasping using visio-motor feedback. The use of a deep…”
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Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles by Gilroy, Scott, Lau, Derek, Yang, Lizhi, Izaguirre, Ed, Biermayer, Kristen, Xiao, Anxing, Sun, Mengti, Agrawal, Ayush, Zeng, Jun, Li, Zhongyu, Sreenath, Koushil

“…Quadrupeds are strong candidates for navigating challenging environments because of their agile and dynamic designs. This paper presents a methodology that…”
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A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0 by Guo, Daqiang, Ling, Shiquan, Li, Hao, Ao, Di, Zhang, Tongda, Rong, Yiming, Huang, George Q.

“…The booming customized and personalized demands call for new production paradigms that complies with that change. The ubiquitous connection, digitization and…”
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Weld Defect Detection Based on Deep Learning Method by Zhang, Haodong, Chen, Zuzhi, Zhang, Chaoqun, Xi, Juntong, Le, Xinyi

“…Welding is an important joining technology but the defects in welds wreck the quality of the product evidently. Due to the variety of weld defects'…”
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Human hand gesture recognition using a convolution neural network by Hsien-I Lin, Ming-Hsiang Hsu, Wei-Kai Chen

“…Automatic human gesture recognition from camera images is an interesting topic for developing intelligent vision systems. In this paper, we propose a…”
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DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network by Niu, Shuanlong, Lin, Hui, Niu, Tongzhi, Li, Bin, Wang, Xinggang

“…Traditional methods for defect detection applied in industry are complex, time-consuming, not robust and demanding for professional experience due to…”
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