IEEE 17th International Conference on Automation Science and Engineering paper awards (with videos)
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The IEEE International Conference on Automation Science and Engineering (CASE) is the flagship automation conference of the IEEE Robotics and Automation Society and constitutes the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners. Here we bring you the online presentations by the finalists of the four awards given at the conference. Congratulations to all the finalists and winners!
Best student paper award
Winner
Designing a User-Centred and Data-Driven Controller for Pushrim-Activated Power-Assisted Wheels: A Case Study
Mahsa Khalili, H.F. Machiel Van der Loos and Jaimie Borisoff
Finalists
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability
Tom Hammerbacher, Markus Lange-Hegermann, Gorden Platz
Synthesis and Implementation of Distributed Supervisory Controllers with Communication Delays
Lars Moormann, Reinier Hendrik Jacob Schouten, Joanna Maria Van de Mortel-Fronczak, Wan Fokkink, Jacobus E. Rooda
Optimal Planning of Internet Data Centers Decarbonized by Hydrogen-Water-Based Energy Systems
Jinhui Liu, Zhanbo Xu, Jiang Wu, kun liu, Xunhang Sun, Xiaohong Guan
Deep Reinforcement Learning for Prefab Assembly Planning in Robot-Based Prefabricated Construction
Zhu Aiyu, Gangyan Xu, Pieter Pauwels, Bauke de Vries, Meng Fang
Singularity-Aware Motion Planning for Multi-Axis Additive Manufacturing
Charlie C.L. Wang, Tianyu Zhang, Xiangjia Chen, Guoxin Fang, Yingjun Tian
Best conference paper award
Winner
Extended Fabrication-Aware Convolution Learning Framework for Predicting 3D Shape Deformation in Additive Manufacturing
Yuanxiang Wang, Cesar Ruiz, Qiang Huang
Finalists
Probabilistic Movement Primitive Control Via Control Barrier Functions
Mohammadreza Davoodi, Asif Iqbal, Joe Cloud, William Beksi, Nicholas Gans
Efficient Optimization-Based Falsification of Cyber-Physical Systems with Multiple Conjunctive Requirements
Logan Mathesen, Giulia Pedrielli, Georgios Fainekos
Best application paper award
Winner
A Seamless Workflow for Design and Fabrication of Multimaterial Pneumatic Soft Actuators
Lawrence Smith, Travis Hainsworth, Zachary Jordan, Xavier Bell, Robert MacCurdy
Finalists
Dynamic Multi-Goal Motion Planning with Range Constraints for Autonomous Underwater Vehicles Following Surface Vehicles
James McMahon, Erion Plaku
OpenUAV Cloud Testbed: a Collaborative Design Studio for Field Robotics
Harish Anand, Stephen A. Rees, Zhiang Chen, Ashwin Jose Poruthukaran, Sarah Bearman, Lakshmi Gana Prasad Antervedi, Jnaneshwar Das
Best healthcare automation paper award
Winner
Hospital Beds Planning and Admission Control Policies for COVID-19 Pandemic: A Hybrid Computer Simulation Approach
Yiruo Lu, Yongpei Guan, Xiang Zhong, Jennifer Fishe, Thanh Hogan
Finalists
Rollout-Based Gantry Call-Back Control for Proton Therapy Systems
Feifan Wang, Yu-Li Huang, Feng Ju
Progress in Development of an Automated Mosquito Salivary Gland Extractor: A Step Forward to Malaria Vaccine Mass Production
Wanze Li, Zhuoqun Zhang, Zhuohong He, Parth Vora, Alan Lai, Balazs Vagvolgyi, Simon Leonard, Anna Goodridge, Ioan Iulian Iordachita, Stephen L. Hoffman, Sumana Chakravarty, B Kim Lee Sim, Russell H. Taylor
tags: c-Research-Innovation
Daniel Carrillo-Zapata
was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of “scientific agitation” to engage in two-way conversations between researchers and society.
Daniel Carrillo-Zapata
was awared his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of “scientific agitation” to engage in two-way conversations between researchers and society.
IEEE Robotics and Automation Society (RAS)
strives to advance innovation, education, and fundamental and applied research in robotics and automation
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