April 16, 2015
Engineering and Computer Science Complex
College of Science, Mathematics, Engineering & Technology, South Carolina State University
300 College Street, NE
Orangeburg, South Carolina 29117

Robotics and Automation: Human-made and Biology-made 

This IEEE technical session is designed to present robotics and automation as intelligent systems. A view towards creative solutions will be of special interest, including mobile robotics in the area of cooperating intelligent agents with application to multi-robot cooperative localization, mapping, exploration, and coverage; robotized flexible manufacturing systems, human-made and biological; and integrated applications that employ computer vision and sensor networks.

What You Will Learn:

• Robotics and automation as applied and integrated intelligence
• New and existing technologies in robotics and automation
• Robotics and automation as human-made and biology-made systems

 6:00PM Networking Reception

 6:30PM Greetings & Presentation of the Panel

Bill Tiso, Principal Engineer & Platform Solutions Architect, Intel Corporation
Ioannis Rekleitis, PhD, IEEE Member, Computer Science & Engineering, University of South Carolina
Stevo Bozinovski, PhD, IEEE Senior Member, Mathematics & Computer Science, South Carolina State University

8:30PM Closing

Click the image, DOWNLOAD the flyer, invite guests to this IEEE Technical Session!


Robotics and Automation Technical Session Flyer
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Panelists

Bill Tiso

Job Title: Principal Engineer & Platform Solutions Architect
Group: Internet of Things
Tenure: Intel & Dialogic – since 1992

Education:
• MSEE – NY Polytechnic Institute 1979
• BSEE – Florida Tech 1970 (Emphasis signal processing, communications and motion control systems)

Job Description
• Team member co-defining the Intel M2M-IoT end to end strategy for secure, remotely manageable embedded edge processing platforms
• Cross divisional IoT Reference Design Platform planner (HW and SW), working closely with internal and external ODM/OSV/ISV stakeholders
• Solutions and HW Architect for IoT Gateway reference design platforms with emphasis on Wireless Connectivity (WiFi, 3G/LTE and WPAN)
• Advisor to ODMs/OEMs taking IoT building Intel reference design based and gateway products, with an emphasis on device certification
• Driving and defining POC/Demo solutions for new use cases as market development tool for Energy, Industrial and Transportation vertical sectors
• Technical direction & thought leadership for OEM/ODM scale solutions integrating relevant IoT sensors (AC line/load energy, rotating machine and environmental sensing/monitoring) into Intel SOC based intelligent gateways & intelligent edge controllers

Hobbies, Recreational Interest and Community Activities
• Golf, sailing, skiing, gardening, hands on home improvement
• Coached youth baseball, soccer, softball and ice hockey

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Dr. Ioannis Rekleitis
I am an Assistant Professor at the Computer Science and Engineering Department, University of South Carolina. I have been an Adjunct Professor at the School of Computer Science, McGill University since 2004, working on aerial and underwater robotics. During 2004-2007 I was a visiting fellow at the Canadian Space Agency working on planetary exploration and On-Orbit-Servicing of Satellites. Between 2002 and 2003, I was a Postdoctoral Fellow at the Carnegie Mellon University in the Sensor Based Planning Lab with Professor H. Choset. I was granted my Ph.D. from the School of Computer Science, McGill University, Montreal, QC, Canada. I am looking for motivated students to work in the area of Autonomous Field Robotics utilizing aerial, underwater, and/or ground vehicles.

My research has focused on mobile robotics and in particular in the area of cooperating intelligent agents with application to multi-robot cooperative localization, mapping, exploration, and coverage. I work with indoor and outdoor robots and sensors. My interests extend to computer vision and sensor networks.

Among the fundamental challenges in mobile robotics is the ability of each robot to infer its pose in the environment based on information collected through noisy sensors. My work solved the problem of localization by employing teams of robots that observe and use each other to localize; I termed this approach cooperative localization [C6] . More recently I have made further contributions by introducing a new sensing modality to CL using bearing-only measurements [C53, C55].

My work at the Canadian Space Agency (CSA) was focused on maximizing autonomy in space robotics [B4]. I was involved in two projects: autonomous on-orbit-servicing of satellites (OSS), and autonomous planetary exploration. My work on OSS resulted in the first transatlantic operation for the remote capture of a tumbling satellite in laboratory tests [J5] and also in the control of a rover located on the Mars emulation terrain from the International Space Station [J6]. For the planetary exploration project I developed algorithmic solutions for autonomous obstacle avoidance, motion planning, mapping, and exploration for a mobile robot operating in a Mars-like environment [J8, C41]. The algorithmic development was followed by intensive field-testing of robots in realistic scenarios.

The focus of my recent work at McGill University was on increasing the autonomy both in underwater and aerial robotics. The proposed approach combines inertial and visual sensor data to improve the vehicles state estimate [C50]. I developed an efficient coverage algorithm [C43] applied to the UAV domain with application to visual coverage [J9]. More recently, I participated in a multi-robot experiment involving aerial, surface, and underwater robots in collaboration with a marine biologist in remote locations [C52].

All references refer to publications available at my CV: http://www.cse.sc.edu/~yiannisr/IoannisRekleitisCV.pdf

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Stevo Bozinovski

Stevo Bozinovski obtained his BS in Computer Science, MS in Electronics, and PhD in Computer Science from University of Zagreb. His academic experience includes University of Massachusetts at Amherst, USA, University of Tsukuba, Japan, Kanazawa Institute of Technology, Japan, University Sts Cyril and Methodius, Macedonia, and National Research Center for Information Technologies (GMD) in Bonn, Germany. His industrial experience includes IBM Deutschland in Bayreuth, Germany, Ricoh Hatano Plant in Hon Atsugi, Japan, and Rade Koncar in Skopje, Macedonia. His pioneering achievements in Robotics are:

1. Control of a robot using human EEG signals (1988),
2. Control of a robot using speech signals (1986),
3. Establishing relation between robotics and molecular genetics recognizing that tRNA is a molecular mobile robot (1985).

He is a Professor of Computer Science at South Carolina State University. His research interest in Robotics is in area of signals controlling robots such as biosignals, as well genetically engineered biorobots.