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Questions and Answers
What is the primary focus of this chapter?
What concept is a unifying concept throughout the book?
Configuration space
Motion planning involves ________________ of particular planning methods.
analyzing the complexity
The basic motion planning problem includes dynamic properties of the robot.
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What is the workspace of a robot typically denoted as?
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What does the obstacle region, denoted by 'B', represent?
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Motion planning is simply about collision checking.
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In motion planning, the robot decides automatically what motions to execute in order to achieve a task specified by initial and goal spatial ____________ of physical objects.
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How is the orientation '0' described in terms of parameters?
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What is an atlas of C in this context?
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The Whitney Embedding Theorem states that any r-dimensional manifold can be embedded in R2r.
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In the parameterization of SO(2), an orientation is represented by a single angle ___.
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What is one of the ultimate goals in robotics?
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Define motion planning in the context of robotics.
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Motion planning primarily involves collision checking and avoidance.
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The concept of __________ space is used throughout the book to organize various facets of motion planning.
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What is the mathematical representation used to denote the inner product in the principal axis basis?
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What does the six-dimensional vector F represent?
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An orthonormal basis is used when N = 3 in the principal axis basis.
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If It ∩ h = I 0, then N1 and N2 are connected by a ____ in G.
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What limitations of the freeway method are mentioned in the content?
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What method is suggested as an alternative to the freeway method?
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The Silhouette method can be used for solving problems involving multiple robots.
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What is the definition of a convex polygonal decomposition K of Cfree?
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How are two cells, K and K', in K defined as adjacent?
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The output of the algorithm for planning a free path connecting initial configuration qinit and goal configuration qgoal is a sequence K1,..., Kp of cells such that qinit ∈ K1, qgoal ∈ Kp and for every j ∈ [1, p - 1], Kj and ___ are adjacent.
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What is the worst-case number of links in the reduced visibility graph when the C-obstacle region consists of c disjoint convex polygons with n vertices?
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What is the key method suggested for transforming a semi-free path into a free path in a two-dimensional configuration space with polygonal C-obstacles and a manifold boundary?
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What is a Voronoi cell in the context of point sets and how is it defined?
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What does the roadmap of a one-dimensional set represent?
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The Minkowski sum of two convex generalized polygons is not a convex generalized polygon.
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What is the applicability condition of the type A contact between E;t and bj?
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Which type of contact is defined by the expression: fi~(q) = z7t(q).(bj - ai(q))?
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What is the purpose of the C-obstacle CB being completely within the closed half-space determined by J/j(q)?
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A type B contact between ai and Ef is dependent on both q and e.
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The surface along which the robot's configuration moves during the displacement is called a C-surface of type ___.
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Study Notes
Robot Motion Planning Book Overview
- The book focuses on the central theme of motion planning, which is necessary for autonomous robots to achieve goal arrangements of physical objects.
- Motion planning involves deciding what motions to perform to achieve a goal, which is a challenging problem in robotics.
Configuration Space Concept
- The concept of configuration space is used throughout the book to organize the various facets of motion planning in a coherent framework.
- Configuration space treats the robot as a point in an appropriate space, representing the geometry of the task.
- Physical concepts, such as force and friction, can be represented in this space as additional geometrical constructs.
Book Structure
- The book consists of 11 chapters, with the first half focusing on the basic motion planning problem and the second half exploring extensions of this problem.
- Chapters 2 and 3 develop the notion of configuration space for a rigid object that can translate and rotate freely among obstacles in a two- or three-dimensional workspace.
- Chapters 4-7 describe four computational approaches for solving the basic motion planning problem: the roadmap approach, exact and approximate cell decomposition approaches, and the potential field approach.
- Chapters 8-11 present various extensions of the basic motion planning problem, including moving obstacles, multiple robots, nonholonomic kinematic constraints, uncertainty, and motion planning with movable objects.
Key Concepts and Techniques
- The book covers key concepts and techniques in motion planning, including:
- Collision-free path planning
- Obstacles in configuration space
- Roadmap methods
- Exact and approximate cell decomposition
- Potential field methods
- Kinematic constraints
- Dealing with uncertainty
- Motion planning with movable objects
Assumed Knowledge
- The book assumes good "undergraduate-level" knowledge in mathematics (geometry, topology, algebra) and algorithms.
- A glossary of mathematical definitions is provided in Appendix A for the reader's convenience.
- Background in robotics and mechanics is also assumed.### Notations and Definitions
- An element of a configuration (Le.a configuration) is denoted by q
- The region of the workspace occupied by the robot A at configuration q is denoted by A(q)
- An obstacle B in the workspace maps to a region called C-obstacle and denoted by CB
- The free space in configuration space is denoted by Cfree, the contact space by Ccontact, and Cvalid = Cfree U Ccontact is the valid space
- A path is denoted by r, and it is usually a function of a parameter denoted by s that takes its values in the interval [0,1]
- A vector is denoted by a symbol with an arrow on top of it, e.g. v, and its modulus is written ||v||
- The inner product of two vectors v1 and v2 is denoted by or v1.v2, and the outer product of v1 and v2 is denoted by v1 A v2
- The angle between v1 and v2 is written angle(v1, v2)
- The distance between two points x and y of a Euclidean space is denoted by ||x - y||
- An interval in R bounded by a and b is denoted by [a, b] if it is closed at both ends, and by (a, b) if it is open at both ends
- The symbols Ef) and e are the Minkowski operators for affine set addition and subtraction, respectively
- Let E be a topological space and F be a subset of it. cl(F), int(F), and B(F) denote the closure, the interior, and the boundary of F, respectively
- Most of the time, calligraphic letters, e.g. S, denote sets
- Symbols in typewriter type style are used to denote boolean expressions or predicates, e.g. CB, Achieve
Aspects of Motion Planning
- A robot is a versatile mechanical device, e.g. a manipulator arm, a multi-joint multi-fingered hand, a wheeled or legged vehicle, a free-flying platform, or a combination of these
- A robot operates in a workspace within the real world, populated by physical objects and subject to the laws of nature
- The robot performs tasks by executing motions in the workspace
- The capability of planning its own motions, i.e. deciding automatically what motions to execute in order to achieve a task, is a major undertaking in robotics
Basic Problem
- The basic motion planning problem is defined as:
- Let A be a single rigid object - the robot - moving in a Euclidean space W, called workspace, represented as R^N, with N = 2 or 3
- Let B1, ..., Bq be fixed rigid objects distributed in W
- The problem is: Given an initial position and orientation and a goal position and orientation of A in W, generate a path r specifying a continuous sequence of positions and orientations of A avoiding contact with the Bi's, starting at the initial position and orientation, and terminating at the goal position and orientation
- Report failure if no such path exists
Configuration Space Formulation
- The configuration space of A is the space C of all the configurations of A
- A configuration q of A is a specification of the position T and orientation θ of FA with respect to Fw
- The subset of W occupied by A at configuration q is denoted by A(q)
- The point a on A at configuration q is denoted by a(q) in W
- C is a differentiable manifold of dimension m, where m = N(N + 1)
Manifold Structure
- C is a manifold of dimension m, where m = N(N + 1)
- C can be covered by a finite number of charts
- The charts in an atlas are C^∞-related, which allows us to extend the differential properties established in a chart of the atlas to all the other charts
- The Whitney Embedding Theorem states that every r-dimensional manifold can be embedded in R^2r### Introduction to Configuration Space
- Configuration space (C) is a space where a robot's position and orientation are represented as a single point
- The concept of C-obstacles is introduced, which are regions in C where the robot collides with obstacles in the workspace
Case of a Polygonal Workspace
- The case of a polygonal workspace is examined, where a polygon A moves freely in the plane among obstacles modeled as polygonal regions
- Two representations of C-obstacles are constructed: a predicate CB and an explicit description of the boundary of CB
Polygonal Regions and Polygons
- A convex polygonal region in R2 is defined as the intersection of a finite number of closed half-planes
- A polygonal region is a subset of R2 obtained by taking the union of a finite number of convex polygonal regions
- A polygon is a polygonal region that is homeomorphic to the closed unit disc
- A polygon has a boundary that is a closed-loop sequence of line segments forming a Jordan curve
Type A and Type B Contacts
- Two types of contact between the robot A and an obstacle B are defined:
- Type A contact: an edge of A contains a vertex of B
- Type B contact: a vertex of A is contained in an edge of B
- The type of contact is determined by the constraint that the interiors of A and B do not overlap
- Type A contact requires a subrange of orientations of A for feasibility
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This quiz covers topics related to robot motion planning, computer vision, and manipulation. It includes questions on robotic grasping, fine manipulation, shadows, and silhouettes in computer vision.