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feature/183/stoch-flocking #183

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jharwell opened this issue Nov 16, 2022 · 0 comments
Open

feature/183/stoch-flocking #183

jharwell opened this issue Nov 16, 2022 · 0 comments
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Type: Feature

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@jharwell
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From 'Milling and meandering: flocking dynamics of stochastically interacting agents with a FOV'/Bagarti2018
jharwell added a commit that referenced this issue Nov 20, 2022
@jharwell
feature(#183): Stochastic flocking
997321c 
- Big refactor of the steering -> APF forces. All the forces I've implemented so
  far are for navigation; flocking forces are NOT for navigation, but can be
  used in tandem with navigation forces.

- Set licensing info for NEW files to SIFT, to help track what I need to
  change (if anything) once I hear back from leadership
jharwell added a commit that referenced this issue Nov 28, 2022
@jharwell
feature(#183): Stochastic flocking
875a87c 
- Closing in on initial cut an an implementation

- Will require injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Nov 28, 2022
@jharwell
feature(#183): Stochastic flocking
0a2eb16 
- Big refactor of the steering -> APF forces. All the forces I've implemented so
  far are for navigation; flocking forces are NOT for navigation, but can be
  used in tandem with navigation forces.

- Set licensing info for NEW files to SIFT, to help track what I need to
  change (if anything) once I hear back from leadership
jharwell added a commit that referenced this issue Nov 28, 2022
@jharwell
feature(#183): Stochastic flocking
7612a7c 
- Closing in on initial cut an an implementation

- Will require injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Nov 29, 2022
@jharwell
feature(#183): Stochastic flocking
6694e77 
- Closing in on initial cut an an implementation

- Will require injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Nov 29, 2022
@jharwell
feature(#183): Stochastic flocking
efb03e0 
- Big refactor of the steering -> APF forces. All the forces I've implemented so
  far are for navigation; flocking forces are NOT for navigation, but can be
  used in tandem with navigation forces.

- Set licensing info for NEW files to SIFT, to help track what I need to
  change (if anything) once I hear back from leadership
jharwell added a commit that referenced this issue Nov 29, 2022
@jharwell
feature(#183): Stochastic flocking
4dc1211 
- Closing in on initial cut an an implementation

- Will require injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Nov 30, 2022
@jharwell
feature(#183): Stochastic flocking
98af107 
- Closing in on initial cut an an implementation

- Will require injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 6, 2023
@jharwell
feature(#183): Stochastic flocking
e8c2946 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 6, 2023
@jharwell
feature(#183): Stochastic flocking
b3e62d8 
- Rework movement metrics -> kinematic metrics, since I need to capture more
  stuff now, and those other things (e.g., pose) fit better under "kinematics".

- Make kinematic metrics able to report averages (the previous behavior) or
  per-robot (what's needed for Joe's IRAD).
jharwell added a commit that referenced this issue Mar 24, 2023
@jharwell
feature(#183): Stochastic flocking
10142a4 
- Big refactor of the steering -> APF forces. All the forces I've implemented so
  far are for navigation; flocking forces are NOT for navigation, but can be
  used in tandem with navigation forces.
jharwell added a commit that referenced this issue Mar 24, 2023
@jharwell
feature(#183): Stochastic flocking
238535f 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 24, 2023
@jharwell
feature(#183): Stochastic flocking
14e8719 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 24, 2023
@jharwell
feature(#183): Stochastic flocking
42c7155 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 24, 2023
@jharwell
feature(#183): Stochastic flocking
58d5096 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
f656342 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
879c2c2 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
02ce518 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
eacdff0 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
2613081 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
f265489 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
8acc597 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
7bd54d6 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
17dcad6 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
c4c83b8 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
da7b1f5 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
2696894 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
e1c31ae 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
46a04b3 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
ab038a4 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
jharwell added a commit that referenced this issue Mar 28, 2023
@jharwell
feature(#183): Stochastic flocking
2652dde 
- Initial implementation

- Requires injection of global swarm state each timestep, which is kind of
  icky, but the quickest/most computationally efficient way to do it.
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@jharwell