[robotics-worldwide] [meetings] CFP: invited session at IEEE-ARM 2020: Open Challenges and State-of-the-Art in Advanced Control of Medical Robot Applications

Yue Chen yc039 at uark.edu
Mon Dec 30 19:02:51 PST 2019


Dear roboticists worldwide,
Please consider submitting your medical robotics research results to the invited session "Open Challenges and State-of-the-Art in Advanced Control of Medical Robot Applications" at the IEEE international conference on Advanced Robotics & Mechatronics (IEEE-ARM). The session code is sp39e. Further information can be found at https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ieee-2Darm.org_&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=J-Nm9TH6_EcAXYWvoDJMcU3z-mfCKp8_H6rSKAdQ--Q&s=6kaM_zv-Mmh_wpg7c92As4m6OSBx9np46qRpxPrI1aw&e= . The submission deadline is January 20th, 2020. Selected submissions will be invited to a journal paper special issue being planned and organized.
Abstract: Robotic technologies have revolutionized medical applications over the past few decades by introducing robotic systems in various medical procedures. However, the deployment and integration of robots in the medical operation has been hampered by issues such as limited sensory perception, safety concerns, and situational awareness for the human user, and having to operate in an unconstructed environment like in operation room or house living room. The development and design of novel control strategies are required to solve these challenges. By linking the clinical requirements considered with the capabilities of state-of-the-art robotic technologies, this invited session aims to bring together researchers, industry engineers, and scientists of different backgrounds and provide an opportunity to discuss solutions for designing control strategies and control software implementation for medical robot applications.
Topics explored in this focused section will include, but are not limited to:

*        Evaluation methods and new methodologies for medical robot applications

*        Image-guided control and visual processing for the medical system

*        Dynamics models and dynamics based controller design for medical robots

*        Stability, disturbance rejection, and robustness in clinical applications

*        Cooperative or semi-autonomous control of medical robots

*        Motion planning for surgical procedures

*        Social, ethical and aesthetic issues in the medical applications

*        Advanced biomedical signal processing

*        Human-computer interaction for biomedical applications

*        Device-free localization in medical application

*        Robot-assisted rehabilitation/surgery robotics and diagnostics

*        Multi-modal based bio-signal processing and pattern recognition

*        Sensor-fusion in biomedical systems

*        Intelligent wearable and assistive medical devices

*        Advanced control algorithm for medical robot control
Contact:

*        Hang Su, Politecnico Di Milano, Italy. Email:hang.su at polimi.it

*        Jing Guo, Guangdong University of Technology, China. Email:toguojing at gmail.com

*        Bo Xiao, Imperial College London, UK. Email:b.xiao at imperial.ac.uk

*        Yue Chen, University of Arkansas, Fayetteville, USA. Email:yc039 at uark.edu

*        Elena De Momi, Politecnico Di Milano, Italy. Email:elena.demomi at polimi.it
On behalf of Committee,
Best regards
Yue Chen




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