SHIV: Reducing Supervisor Burden in DAgger using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces Michael Laskey1 , Sam Staszak1 , Wesley Yu-Shu Hsieh1 , Jeffrey Mahler1 , Flori

Source URL: goldberg.berkeley.edu

• Machine learning
• Artificial intelligence
• Statistics
• Learning
• Statistical classification
• Support vector machine
• Apprenticeship learning
• Artificial neural network
• Loss function
• Motion planning
• Reinforcement learning
• Robotics

Projectile Motion The Basics 1) Given an initial velocity vector (speed and angle), how would you fnd components v xi and v yi ? 2) From v xi and v yi , how would you fnd parametric functions for position x (t) and y (t)

Source URL: sasc-specialists.ucdavis.edu

Sensor-Based Robot Motion Generation in Unknown, Dynamic and Troublesome Scenarios Javier Minguez and Luis Montano Instituto de Investigaci´ on en Ingenier´ıa de Arag´

Source URL: webdiis.unizar.es

• Motion planning
• Robot
• Occupancy grid mapping
• International Space Station
• Vector Field Histogram
• Care-Providing Robot FRIEND
• Spaceflight
• Robotics
• Mobile robot

Copyright © 2002 IFAC 15th Triennial World Congress, Barcelona, Spain ROBOT NAVIGATION IN VERY COMPLEX, DENSE, AND CLUTTERED INDOOR/OUTDOOR ENVIRONMENTS

Source URL: webdiis.unizar.es

• Robot
• Motion planning
• Obstacle avoidance
• Vector Field Histogram
• Dynamic window approach
• Applied mathematics
• Cybernetics
• Automation
• Care-Providing Robot FRIEND
• Robot control
• Robotics
• Mobile robot

SUBMITTED AS A REGULAR PAPER TO THE IEEE TRANSACTIONS ON ROBOTICS 1 Extending Reactive Collision Avoidance Methods to Consider any Vehicle Shape and the Kinematics

Source URL: webdiis.unizar.es

• Theoretical computer science
• Physics
• Kinematics
• Robotics
• Obstacle avoidance
• Mobile robot
• Vector Field Histogram
• Collision avoidance
• Robot
• Robot control
• Robot kinematics
• Motion planning

Dynamics and Relativity Professor Gordon Ogilvie Mathematical Tripos, Part IA Lent Term 2015 Example Sheet 2

Source URL: www.damtp.cam.ac.uk

• Physical quantities
• Force
• Polar coordinate system
• Angular momentum
• Circular orbit
• Equations of motion
• Laplace–Runge–Lenz vector
• Orbit
• Angular velocity
• Physics
• Classical mechanics
• Rotation

! Properties of Gases & Classical Mechanics !

Source URL: wallace.chem.ox.ac.uk

• Introductory physics
• Mechanics
• Motion
• Acceleration
• Equations of motion
• Rotation around a fixed axis
• Euclidean vector
• Velocity
• Momentum
• Physics
• Classical mechanics
• Physical quantities

688 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 13, NO. 7, JULY 2003 Rate-Constrained Coder Control and Comparison of Video Coding Standards

Source URL: ip.hhi.de

• Videotelephony
• Electronic engineering
• MPEG
• H.264/MPEG-4 AVC
• Deblocking filter
• H.262/MPEG-2 Part 2
• Inter frame
• H.261
• Motion vector
• Video compression
• Video
• Data compression

2011 18th IEEE International Conference on Image Processing A BLOCK-ADAPTIVE SKIP MODE FOR INTER PREDICTION BASED ON PARAMETRIC MOTION MODELS Alexander Glantz, Michael Tok, Andreas Krutz, and Thomas Sikora Communication

Source URL: elvera.nue.tu-berlin.de

• Electronic engineering
• High-definition television
• High Efficiency Video Coding
• ISO standards
• Inter frame
• MPEG
• Motion compensation
• H.264/MPEG-4 AVC
• Motion vector
• Video compression
• Video
• Videotelephony

he rate-distortion efficiency of today‘s video compression schemes is based on a sophisticated interaction between various motion representation possibhties, waveform codmg of dfferences, and waveform coding of various

Source URL: ip.hhi.de

• Data compression
• Electronic engineering
• H.264/MPEG-4 AVC
• H.261
• Motion compensation
• Deblocking filter
• Rate–distortion optimization
• Motion vector
• Video Coding Experts Group
• Video compression
• Video
• Videotelephony