Lecture 5 - Robot Locomotion Flashcards

1
Q

Different word for sensor space

A

Perceptual space

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2
Q

Effectors

A

Devices that have an effect on the robot’s environment (arms, wheels)

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3
Q

(active) Actuators

A

Mechanisms that enable the effector to execute an action or movement (e.g. motors)

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4
Q

Passive Actuation

A

Do not use motors but only potential energy

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5
Q

(3) different state types

A
  1. Observable state (knows a lot about itself and world)
  2. Partially observable state: knows little about itself and world
  3. Hidden state: it can’t sense
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6
Q

State space

A

Possible values or variations of all the components represented in the state.

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7
Q
  1. External state
  2. Internal state
    - > what can it be?
A
  1. Environment
  2. robot itself
    - > can be representation of external information (map)
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8
Q

What does robot need to be truly autonomous?

What does it combine?

A

A controller

that combines sensor input with actuator output (decides what to do)

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9
Q

Degrees of Freedom

-> what does it impact?

A

Any of the minimum number of coordinates required to completely specify the motion of a mechanical system
-> impacts the robots abilities to interact with its environment

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10
Q

3 Different DoF’s
1. Holonomic
+ example

A

Controllable DoF’s is equal to the total DoF
cDoF = tDoF
+ Helicopter

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11
Q

3 Different DoF’s
2. Non-holonomic
+ example

A

Not all DoF’s are controllable
cDoF < tDoF
+ Car, two-wheeled robots

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12
Q

3 Different DoF’s
3. Redundant
+ example

A

Controlling more DoF’s than the total.
cDoF > tDoF
+ Human/robotic arm

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13
Q

What is required for locomotion (DoF)?

  1. minimum
  2. generally
A
  1. Minimum 2 DoF for lift and swing

2. Large number of DoF and cDoF

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14
Q

Static stability

A

More than two legs on ground

  • > static and stable
    ex: tripod
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15
Q

Dynamic stability

A

Two or less legs on the ground

  • > body must actively balance
    ex: inverse pendulum
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16
Q

Number of gaits depends on…

-> formula for possible events

A

depends on number of legs

N = (2*(#of legs)-1)!
human: 3! = 6

17
Q

How do different numbers of legs influence motion?

  1. Fewer legs ->
  2. More legs -> (2)
A
  1. Fewer legs -> more complex locomotion

2. More legs -> more complex control and gait

18
Q

What does differential steering make possible?

A

Maneuvering along complicated paths (ability to drive wheels independently)

19
Q

Controllability vs. Maneuverability

A

High Maneuverability requires complex controllability

20
Q

Maneuverability vs. Odometry

A

High Maneuverability results in worse Odometry

21
Q

Trajectory planning

A

Searching for a path that satisfies certain conditions (in moving and manipulation (called navigation) tasks)

22
Q

Optimal trajectory depends on (3)…

A
  1. Task (condition)
  2. Environment
  3. Physical robot constraint (steering mechanism)