PPT-Autonomous Navigation of a

Humanoid Robot over Unknown Rough Terrain using a Laser Range Sensor Koichi Nishiwaki Joel Chestnutt Satoshi Kagami The International Journal of Robotics Research 17 August 2012 HRP2 38DOF. Always relative to inertial space Most common inertial sensors Accelerometers G yros brPage 4br Accelerometers By attaching a mass to a spring measuring its deflection we get a simple accelerometer Figure Gade 2004 brPage 5br Accelerometers conti Miniature airships which are an instance of such robots are especially challenging since they behave nonlinearly typically are underactuated and also are subject to drift These aspects paired with their highdimensional state space demand ef64257cien Chris Schwarz. National Advanced Driving Simulator. Acknowledgements. Mid-America Transportation Center. 1 year project to survey literature and report on state of the art in autonomous vehicles. Co-PI: Prof. . Lecture 4.3 :. Kinematics and Dynamics. Jürgen . Sturm. Technische. . Universität. . München. Kinematics. Describes . the motion of rigid bodies. Position. Velocity. Acceleration. Jürgen Sturm. Lecture 1.3: . Flying Principle of a . Quadrotor. Jürgen . Sturm. Technische. . Universität. . München. Quadrotor. : Flying Principle. What do we need to do to keep the position?. Jürgen Sturm. A. utonomous . S. urface Vehicles (ASV). Co-Leaders: Forrest Walen, Justyn . Sterritt. Team Members: Andrea . Dargie. , Paul Willis, Phil . Goff, Lucas Davies, Ben Novak . Advisor: Dr. May-Win . Thein. Amato Evan. Scripps Institution of Oceanography, University of California San Diego, USA. Key Questions. What are the spatial, temporal, and microphysical characteristics of dust over California, and what are the primary source regions for these mineral aerosols?. Lecture 3.1:. 3D Geometry. Jürgen . Sturm. Technische. . Universität. . München. Points in 3D. 3D . point. Augmented . vector. Homogeneous coordinates. Jürgen Sturm. Autonomous Navigation for Flying Robots. Machine ethics. AV. Can a machine “decide” anything?. 2. If a small tree branch pokes out onto a highway and there’s no incoming traffic, we’d simply drift a little into the opposite lane and drive around it. But an automated car might come to a full stop, as it dutifully observes traffic laws that prohibit crossing a double-yellow line. This unexpected move would avoid bumping the object in front, but then cause a crash with the human drivers behind it. E. xtraterrestrial . N. avigation. Researcher: Matthew Plank. Mentor: . Srikanth. . Saripalli. Arizona State University. RAVEN. PROJECT DESRIPTION. : Raven is a test platform for a support vehicle that can be both autonomous and remotely operated by space travelers for planetary exploration.. Lecture 2.3:. 2D Robot Example. Jürgen . Sturm. Technische. . Universität. . München. 2D . Robot. Robot is . located somewhere . in space. Jürgen Sturm. Autonomous Navigation for Flying Robots. The future is ďright for autonomous driving ;ADͿ ǁith the rapid technology advances in artilearning, computer vision, senso October 2020 Commercial LEO PNT for Autonomy 2 Outline Evolution in Aerospace & Navigation New Navigation Drivers: Autonomy Commercial LEO PNT Xona Space Systems 3 Outline Evolution in Aerospace & Na 2021-05-05Tyler Reid CTOCommercial Satellite Navigation For Autonomy2OutlineEvolution in Aerospace NavigationNew Navigation Drivers AutonomyCommercial LEO PNTXona Space Systems3OutlineEvolution in Ae