Robot Motion Planning
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1 Robot Motion Planning Dinesh Manocha The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
2 Robots are used everywhere HRP4C humanoid Swarm robots da vinci Big dog MEMS bugs Snake robot 2 The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
3 Robots are used everywhere The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
4 Robot System desired task desired trajectory F C A movement S + S F: Feedforward C: Control A: Actuator S: Sensor S + : Sensor post-processing motion planning and trajectory generation 4
5 Robot Motion Planning Given initial setting A of the robot, find a valid or optimal trajectory for the robot to reach goal B Collision-free Other constraints (balance) Optimal criteria (shortest path, min-time...) Goal B Initial A 5
6 Motion Planning Motion planning (a.k.a., the "navigation problem", the "piano mover's problem") is a term used in robotics for the process of detailing a task into discrete motions (Wikipedia)
7 Motion Planning (the words) Planning: a matter of symbols and graph search Motion: a continuous function from time to space Motion Planning: a computational topology problem
8 Motion in Virtual Worlds Computer games Computer generated simulations Virtual prototyping systems Examples: 1. kineo/index.shtml (Kineo) The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
9 Smart Robots or Agents Autonomous agents that sense, plan, and act in real and/or virtual worlds Algorithms and systems for representing, capturing, planning, controlling, and rendering motions of physical objects Applications: Manufacturing Mobile robots Computational biology Computer-assisted surgery Digital actors The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
10 Goal of Motion Planning Compute motion strategies, e.g.: geometric paths time-parameterized trajectories sequence of sensor-based motion commands aesthetic constraints To achieve high-level goals, e.g.: go to A without colliding with obstacles assemble product P build map of environment E find object O
11 Basic Motion Planning Problem Statement: Compute a collision-free path for an object (the robot) among obstacles subject to CONSTRAINTS Inputs: Geometry of robot and obstacles Kinematics of robot (degrees of freedom) Initial and goal robot configurations (placements) Outputs: Continuous sequence of collision-free robot configurations connecting the initial and goal configurations The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
12 Examples with Rigid Object à Ladder problem Piano-mover problem ß
13 Is It Easy?
14 Example with Articulated Object
15 Some Extensions of Basic Problem Moving obstacles Multiple robots Movable objects Assembly planning Goal is to acquire information by sensing Model building Object finding/tracking Inspection Nonholonomic constraints Dynamic constraints Stability constraints Optimal planning Uncertainty in model, control and sensing Exploiting task mechanics (sensorless motions, underactualted systems) Physical models and deformable objects Integration of planning and control Integration with higherlevel planning
16 Examples of Applications Manufacturing: Robot programming Robot placement Design of part feeders Design for manufacturing and servicing Design of pipe layouts and cable harnesses Autonomous mobile robots planetary exploration, surveillance, military scouting Graphic animation of digital actors for video games, movies, and webpages Virtual walkthru Medical surgery planning Generation of plausible molecule motions, e.g., docking and folding motions Building code verification
17 Design for Manufacturing/Servicing General Motors General Motors General Electric
18 Assembly Planning and Design of Manufacturing Systems
19 Application: Checking Building Code
20 Cable Harness/ Pipe design
21 Humanoid Robot [Kuffner and Inoue, 2000] (U. Tokyo)
22 Digital Actors A Bug s Life (Pixar/Disney) Toy Story (Pixar/Disney) Tomb Raider 3 (Eidos Interactive) The Legend of Zelda (Nintendo) Antz (Dreamworks) Final Fantasy VIII (SquareOne)
23 Motion Planning for Digital Actors Manipulation Sensory-based locomotion
24 Application: Computer-Assisted Surgical Planning
25 Radiosurgical Planning Cyberknife
26 Surgeon Specifies Dose Constraints Dose to the Critical Region Tumor Dose to the Tumor Region Critical Fall-off of Dose Around the Tumor Fall-off of Dose in the Critical Region
27 Study of the Motion of Bio-Molecules Protein folding Ligand binding
28 Application: Prediction of Molecular Motions
29 DARPA Grand Challenge Planning for a collision-free 132 mile path in a desert The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
30 Motion UNC Robot Motion Planning Multi-Agent Simulation The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL
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