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Towards Perception Aware Task-Motion PlanningДЄntony Thomas, Sunny Amatya, Fulvio Mastrogiovanni, and Marco BagliettoДЇrom Abstract to Executable Models for Multi-Agent Path Finding on Real Robots Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception Session #1 - Planning - Session Chair: Kyle WrayДЄ Practical Distributed Knowledge-Based Reasoning and Decision-Theoretic Planning for Multi-robot Service SystemsДЄbdel-Illah Mouaddib and Laurent Jeanpierre

In this talk IвЂ™ll explain the business problem that motivated the innovation, Kiva technology and the benefits it brought to customers, and the future of applications of robotics in warehouses. The path from concept through successful startup and eventual acquisition involved challenges on all fronts. Peter Wurman, VP of Engineering at Cogitai, Former Co-founder of Kiva Systems Title: The Disruptive Power of Robots Abstract: Kiva Systems introduced swarms of agile robots into an industry dominated by stationary conveyor systems. The solution is NissanвЂ™s Seamless Autonomous Mobility system or SAM.' See more here. Roadblocks to realizing a fully autonomous future for driving.

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But we are still not at a point where autonomous vehicles can know exactly how to handle unpredictable situations. Maarten Sierhuis, Chief Technology Director at Nissan Research Center - Silicon Valley, Founder of Ejenta Title: Seamless Autonomous Mobility (SAM) Abstract: 'Advances in artificial intelligence are making vehicles smarter, more responsive, and better at making decisions in a variety of drivingД®nvironments. Following this I will explore the issues (software, hardware, and social) that impacted upon the autonomy of our deployed robots, and look at what we can learn from these experiences as both AI practitioners and as engineers deploying robots in real environments. From this I will present examples of the kinds of things that mobile robots can learn over long autonomous operations in such environments, including navigation information, human activities, object models, and mission schedules. Nick Hawes, Associate Professor of Robotics at the University of Oxford Title: Learning From Four Years of Mobile Autonomy Abstract: In this talk I will look back over four years of long-term deployments of autonomous mobile robots in everyday environments. The symposium combines invited talks, presentations, and discussions from both an AI and a robotics perspective. We seek papers that find a common middle ground between theory and applications, and analyze the lessons learned from these efforts, particularly with respect to long-term autonomy. Our goal is to help identify research avenues that can move the AI community beyond highly theoretical results for simple domains or highly engineered one-shot solutions for realistic applications. This symposium aims to identify the challenges and bridge the gaps between theoretical frameworks for planning and learning in autonomous agents and the requirements imposed by deployment in the real world. This includes mechanisms to support autonomous operations over extended periods of time, techniques that facilitate the use of human assistance in learning and decision-making, learning to reduce the reliance on humans over time, addressing the practical scalability of existing methods, relaxing unrealistic assumptions, and alleviating safety concerns about deploying these systems. The development of drone delivery services, virtual assistants, and autonomous vehicles have highlighted numerous challenges surrounding the operation of autonomous systems in unstructured environments. I.Over the past decade, decision-making agents have been increasingly deployed in industrial settings, consumer products, healthcare, education, and entertainment. Below is an outline of the skills and perspectives we believe are desirable for students graduating with a degree in Biology.

These learning goals should not only prepare our students for a variety of career paths, but also provide them with the tools to be life-long learners in the rapidly evolving world of biological sciences. The Biology Department has defined the learning goals for Biology majors to include both the acquisition of facts and concepts (met by the present course requirements) and the acquisition of skills and perspectives.