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Ph.D., Dr. Techn. h.c. Henrik Iskov Christensen
Henrik I Christensen is the KUKA Chair of Robotics and a distinguished professor of computing. He also serves as the director of the Institute for Robotics and Intelligent Machines. Henrik earned his first degree in Mechanical Engineering and subsequently was awarded M.Sc. and Ph.D. degrees in Electrical Engineering from Aalborg University. He was awarded an honorary doctorate in Engineering 2014.
Dr. Christensen does research on vision, robotics and AI with particular emphasis on a systems approach to problems. He has published more than 300 contributions. He serves on numerous editorial boards. He was awarded the Joseph Engelberger Award 2011 and Boeing supplier of the year 2012.
Samarth is currently pursuing a PhD in Robotics. He is interested in Computer Vision and Machine Learning applied to robots. In particular, he is interested in the classical problems of object detection and pose estimation in the face of clutter and occlusion and applications thereof.
He has authored ‘Practical OpenCV’, a fun book exploring the popular OpenCV computer vision library through projects. Samarth holds a Masters’ degree in Robotics from the University of Pennsylvania, and a Bachelors’ degree in Electronics from Nirma University, India. He also likes to swim, run and read about history.
He is a PhD student in the School of Interactive Computing, which is a part of College of Computing at Georgia Tech. He is associated with Cognitive Robotics and BORG lab and is being advised by Henrik I. Christensen and Frank Dellaert. He is also affiliated with Institute for Robotics and Intelligent Machines and Computational Perception laboratory.
Prior to joining Gerogia Tech in 2012, he worked with P J Narayanan at CVIT in IIIT-H, India. Here he worked on improving the efficiency of SfM using efficient localization, triangulation and bundle adjustment.
His primary research interests are in the areas of Robotics and Computer Vision and its intersection with Machine Learning and GPGPU Computing. He is currently working on resource efficient long term mapping and navigation in large scale environments.
I’m currently a computer science graduate student at Georgia Tech working with Dr. Henrik Christensen and Dr. Irfan Essa. I graduated magna cum laude at Clemson University in December 2012 with a BS in Computer Engineering. I then went on to work for INSCOM/NSA before deciding to go back to school. My research interests include robotics, automation, computer vision, deep learning, and computer security. My current projects are segmentation in 3D and 4D spaciotemporal regions and gesture recognition with RGBD images. My work has been featured by websites/magazines such as The Washington Post, the Huffington Post, Techcruch, the Daily Dot, Mashable, Slashdot, Engadget, Linux User and Developer Magazine, raspberrypi.org, Hackaday, StackOverflow, and Lifehacker. I’ve been featured due to my Snapchat Captcha solver, Google Voice API, and voice-controlled software.
Ana Huamán Quispe
Ana Huamán Quispe is a Ph.D. student in the School of College of Computing at the Georgia Institute of Technology. She is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech.
She was a research programmer in BioRobotics Lab – Carnegie Mellon University and a student developer for OpenCV for Google’s Summer of Code. She holds B.S. in Computer Science from Universidad Nacional de Ingenieria in Peru, and M.S. in the same major department from the Georgia Institute of Technology.
Her area of research interests focus on whole-body manipulation for humanoids and motion planning for high-dimensional robotic systems.
Kimoon Lee is a Ph.D. student in the School of Electrical and Computer Engineering, College of Engineering at the Georgia Institute of Technology. He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech.
He was a senior engineer in the Mechatronics group of Samsung Electronics in South Korea. He holds B.S. in Electrical and Computer Engineering from Hanyang University, and M.S. in the same major department from the Pohang university of Science and Technology.
His area of research interests is tasks models for robot automation, with a focus on verification and error recovery for task based robot programming.
Varun Murali is a double major M.Sc. student in the School of Electrical and Computer Engineering, College of Engineering at the Georgia Institute of Technology. He is also affiliated with the Cognitive Robotics Lab in the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech.
He holds a BEng (Hons) in Electronics and Communications Engineering with a year in Industry from the University of Kent, Canterbury, UK. He has held engineering positions at Dynamic Load Monitoring, Southampton, UK and BMW, Munich, Germany.
His area of research interests is creating reconfigurable frameworks for cognitive systems to facilitate industrial automation and collaboration between robots and humans.
Carlos Nieto is a graduate research assistant in the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Institute of Technology under the advisement of the KUKA Chair of Robotics Professor Henrik I. Christensen.
He has been a visiting researcher at the United States Army Research Laboratory (ARL) working on Multi-robot exploration and navigation. Prior to entering the doctoral program, he received his B.S.degree in Electronics and Computer Engineering from Tecnológico de Monterrey, Campus Estado de México.
His research interests include computation of visual correspondences, place categorization and probabilistic methods in robotics and computer vision applied to autonomous navigation and simultaneous localization and mapping (SLAM) using semantic information from indoor and outdoor environments.
Ruffin White is a Ph.D. student in the School of Electrical and Computer Engineering, College of Engineering at the Georgia Institute of Technology. He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech.
He was a summer research assistant at the Robotics Institute at CMU. He holds B.S. in Electrical Engineering and a Multidisciplinary Minor in Robotics from Rose-Hulman Institute of Technology.
His area of research interests is mobile robotic mapping, with a focus on semantic understanding for robot SLAM and planning.
Dr. Changhyun Choi
Changhyun Choi is a Postdoctoral Associate in the Computer Science & Artificial Intelligence Lab (CSAIL) at Massachusetts Institute of Technology (MIT) working with Prof. Daniela Rus. He obtained a Ph.D. in Robotics at the School of Interactive Computing, College of Computing, Georgia Institute of Technology, wherein he was also affiliated with the Institute for Robotics and Intelligent Machines (IRIM). He was a research intern in the Imaging Group of Mitsubishi Electric Research Labs (MERL) in Cambridge, Massachusetts, an intern researcher at the Imaging Media Research Center (IMRC) at Korea Institute of Science and Technology (KIST), and an undergraduate researcher at the Intelligent Systems Research Center at Sungkyunkwan University. He holds a B.S. in Information and Communication Engineering from Sungkyunkwan University. His broad research interests are in Visual Perception for Robotics, with a focus on object recognition and pose estimation, visual tracking, and 3D registration.
Akansel’s expertise in robot navigation enables him to design and implement algorithms that allow robots to navigate safely in human environments. His research interests also include Human-Robot Interaction (HRI), robot manipulation and computer vision. He also has a passion to learn about business and finance. Akansel holds a MS in Computer Science from Georgia Tech and a BS in Electrical Engineering from Bilkent University in Turkey.
Dr. Neil T. Dantam
Neil Dantam received his Ph.D. in robotics at Georgia Tech and was a lab manager for the Humanoid Robotics Lab directed by Prof. Mike Stilman.
Neil’s research focuses on reliable control policies, particularly for robot manipulation. He has applied context-free grammars to robot policy generation and analysis. In addition, he has worked on practical aspects of robot manipulation andsoftware design.
Neil received the Georgia Tech President’s Fellowship, the Georgia Tech/SAIC paper award, and an American Control Conference ’12 presentation award. He received bachelors’ degrees in Computer Science and Mechanical Engineering from Purdue University and has worked at iRobot Research, MIT Lincoln Laboratory, and Raytheon.
Dr. Tobias Kunz
I am a software engineer on Google’s self-driving car team working on motion planning. I received a PhD in robotics and a MS in Computer Science from the Georgia Institute of Technology where I was advised by Prof. Henrik Christensen and Prof. Mike Stilman. My research focussed on motion planning with differential constraints and my dissertation more specifically on sampling-based planning for robot arms with joint acceleration limits.
Dr. Martin Levihn
Martin Levihn is a Ph.D. candidate in the School of Interactive Computing, College of Computing at Georgia Tech. He is affiliated with the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech. Previously, he held appointments as visiting researcher at the Japan Science and Technology Agency and National Institute of Advanced Industrial Science and Technology in Tokyo, Japan. He was also a visiting graduate student at the Computer Science and Artificial Intelligence Laboratory at MIT.
His PhD research focuses on robot task and motion planning in unknown and/or uncertain environments and has been featured in the IEEE Spectrum.
Dr. Charles Pippin
Charles Pippin is a senior research scientist at the Georgia Tech Research Institute (GTRI). His research interests include collaborative autonomy algorithms, machine learning, multi-robot systems and unmanned systems. Pippin’s research includes investigation on both indoor robot platforms performing patrolling tasks and on unmanned aerial vehicles (UAVs). He has led a team of researchers performing autonomous collaboration using GTRI’s research fleet of UAVs, resulting in multiple successful field demonstrations of collaborative autonomy with unmanned aerial and ground vehicles. Pippin was also a member of the DARPA program for Learning Applied to Ground Robotics (LAGR). In his current work, he is studying issues related to task sharing, as well as performance and trust on cooperative, multi-robot teams.
Dr. Heni Ben Amor
Heni Ben Amor is a Research Scientist at the Institute for Robotics and Intelligent Machines at GeorgiaTech in Atlanta. At GeorgiaTech, he is leading a project on the future of manufacturing robots. Heni studied Computer Science at the University of Koblenz-Landau (GER) and earned a Ph.D in robotics from the Technical University Freiberg and the University of Osaka in 2010 where he worked with Hiroshi Ishiguro and Minoru Asada. Prior to moving to GeorgiaTech, Heni was a postdoctoral scholar at the Technical University Darmstadt working with Jan Peters. Heni’s research topics focus on artificial intelligence, machine learning, human-robot interaction, robot vision, and automatic motor skill acquisition. He received the highly competitive Daimler-and-Benz Fellowship as well as several best paper awards at major robotics and AI conferences. He is also in the program committee of various AI and robotics conferences such as AAAI, IJCAI, IROS, NIPS, and ICRA.
Sungtae An is a Ph.D. in Computer Science student in the School of Interactive Computing, College of Computing at Georgia Tech. He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech.
He holds B.S. in Electrical and Computer Engineering from Hanyang University, and M.S. in the same major department from Korea Advanced Institute of Science and Technology (KAIST).
His research area focuses on Computer Vision and Sensory Fusion for Simultaneous Localization and Mapping (SLAM) and Structure-from-Motion problems.
I am a M.Sc. in engineering specialized in Informatics. I have primarily been working with Computer Vision, Machine Learning, Pattern Classification and Artificial Intelligence. Through my bachelor degree I have learned about Embedded Programming, Network Programming and Real time Systems. I am currently a Software Developer at Gamblify.
Alexander (a.k.a. Sasha) Lambert is a Ph.D student in the School of Electrical and Computer Engineering at Georgia Tech. He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Tech.
Sasha earned a B.Eng in Mechanical Engineering from McGill University, Canada, and an MS with thesis in Aerospace Engineering from the Georgia Institute of Technology.
His research area focuses on high-accuracy control systems for robotic manipulators conducting industrial machining tasks.
Benoît Milville is an Arts & Métiers engineer, from France. Recently gratuaded with masters’ degree in Robotics, he is currently visiting the Institute for Robotics and Intelligent Machines (IRIM) at Georgia Institute of Technology.
He has worked in the automotive industry, for PSA Peugeot Citroen as intern in a R&D departement, and also for the semi-conductor industry, for YLS as R&D engineer.
His fields of expertise range from embedded electronics and 3D printing to path planning for robotic arms
Daniela Steidl is a consultant of CQSE GmbH for software quality. She studied computer science at the Technische Universität München (TUM), the Georgia Institute of Technology and the University of Illinois (both USA) and obtained a Master of Science degree.
She was working in the Distributor’s Pallet Packing Problem and participated in the Virtual Manufacturing Automation Challenge (VMAC) during the International Conference on Robotics and Automation (ICRA) 2010 in Anchorage, Alaska.
Currently she is a PhD candidate in software engineering at TUM.