Heni Ben Amor - Home
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Get to know the people in the lab and the researcher areas of both past and present students. Check out current and past projects partnered with industry sponsors. Catch up on our list of Conference and Journal publications for all our projects. Efficient Hierarchical Graph-Based Segmentation of RGBD Videos. RGB-D Edge Detection and Edge-Based Registration.
To one of the humbler comms experiments of the 21st century. What would it be like to feel the hearts of all of humanity beat in real-time? With all the variation, would it even be possible to make sense of it, or would it just be noisy stuff? How would it be as an emotional experience? Would people generally feel more empathetic? .
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Personal Homepage of Heni Ben Amor - Robotics and Machine LearningCONTENT
This website henibenamor.weebly.com states the following, "I am an Assistant Professor at Arizona State University." Our analyzers viewed that the website said " My research focuses on advanced robotics and artificial intelligence." The Website also said " Bull; December Our project got selected for the Robotiq Tactile Sensor program! Bull; December A new interview for the ASU Now website on the HBO series Westworld. Bull; November Our robot learning to play basketball is featured in an extended interview by Motherboard. At IEEE Humanoids 2016 in Mexico." The website's header had robotics as the most important search term. It is followed by machine learning, AI, and motor skills which isn't as ranked as highly as robotics. The next words they used was robot planning. grasping was included but will not be viewed by search engines.VIEW SUBSEQUENT WEBSITES
Is a Postdoctoral Research Associate. In Computer Science at Rice University. Focuses on robot planning and control. He has developed methods to combine discrete and geometric planning, improve Cartesian control, and analyze discrete robot policies. In addition, he has worked on practical aspects of robot manipulation and software design to ensure that new theoretical techniques can be validated in the physical world.
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Cognition, Neuroscience and Machine Learning. The NMI Lab strives to create computing systems that work more like the brain, by combining the fundamental and the applied. Specifically, our long-term research goal is to emulate high-level, cognitive function in dedicated neuromorphic hardware systems. Outcomes from this research range from brain-computer interfaces to goal-directed and adapting robotic systems. Dec 19, 2016, posted by Emre Neftci.