Optimizing Robot Design: Heuristics for Efficient Performance

In summary: I think that would be a great approach.It sounds like you have a lot of thinking to do before you start building these robots.
  • #1
Erik Bethke
3
0
Hello all,

I am designing a lay-person-facing simulation that includes robots performing a broad array of tasks.

I do not want to create magical can-do-anything robots that collapse all work to be performed to a simple abstraction.

Rather, I would like to have relatively dedicated and optimized robots for particular jobs:
Drilling
Digging
Hauling
Smelting
3D printing [of material M, of size x, y, z and speed s]
etc...

I have a background in aerospace engineering and so I can comfortably calculate the theoretical watt-hours to accomplish any of these tasks. What I do not have a lot of experience with is estimating the losses in a robotic system.

My general plan of attack is the following:
1) Identify the job that the robot is expected to perform
2) Break that job down into smaller sub-jobs (e.g. run the manipulator arm for time t, move mass m distance d, etc)
3) Try to identify losses - e.g. wheels in soft sand, atmospheric drag
4) Sum all of these smaller jobs and identifiable losses
5) Have a standard CPU, display & communications black box and make it equivalent to the electronics in a Tesla
6) Now I have some sort of estimate of the total watt-hours to perform the job & controls
7) Then multiply by 2? 3? By 1.25? What is the rule of thumb here?

What am I forgetting to think about?

Are there better rules of thumb rather than a crude blanket across all jobs?

There must be different rules of thumb for sub-tasks such as:
1) locomotion on hard surfaces vs soft surfaces
2) gripping tasks
3) digging & drilling
4) 3d printing
etc...

Another way to look at it perhaps is that when folks go about designing a robot to do a task, how do they size the motors and batteries on paper?

Cheers and thank you,
-Erik
 
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  • #2
Instead of thumb rule it is better to design from the scratch and add for the losses
 
Last edited by a moderator:
  • #3
Oh, I should have added, I am not designing one or two robots.

But will be on the order of 200-1000 specific robots.

It is a software simulation to help solve a larger goal. The errors on the robots power needs if they are within a factor of 2 or so would be fine. I do not want to be off by an order of magnitude.
 
  • #4
Erik Bethke said:
Another way to look at it perhaps is that when folks go about designing a robot to do a task, how do they size the motors and batteries on paper?
Erik Bethke said:
What am I forgetting to think about?
I don't see acceleration numbers of your loads taken into consideration in your post so far. That is part of sizing the motors (both from a power perspective and speed perspective). It takes a lot more power to do things fast compared to slowly...
 
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  • #5
Acceleration! Thank you - that is a big one.

What do you think about building essentially a spreadsheet of sub-jobs each with their own costing. Then to create a robot I composite the sub tasks...

Crudely:
1) Haul mass for a distance of d meters on level, hard surface, in time t
2) Haul mass for a distance of d meters on inclined, soft sand in time t
3) Grind a mass of substance with a hardness of h, in time t
...
...
?

Robot XYZ does 10x of 1, 3x of 2, and 1x of 3...
 
  • #6
you have to take into consideration the mass moment of inertia of the links and the servo gear motor rotor inertia ,which rotates the corresponding links
to get fine tuned systems , otherwise the commands and executions will be differ greatly
 

1. What is the purpose of Robot Design Heuristics?

Robot Design Heuristics are a set of guidelines and strategies used to aid in the design of robots. They help to ensure that robots are efficient, effective, and safe to use.

2. How do Robot Design Heuristics differ from other design principles?

Robot Design Heuristics are specifically tailored for designing robots and take into account their unique capabilities and limitations. They also focus on optimizing the robot's performance and functionality, rather than just its appearance.

3. Can Robot Design Heuristics be applied to all types of robots?

Yes, Robot Design Heuristics can be applied to any type of robot, regardless of its size, shape, or purpose. They are a flexible set of principles that can be adapted to fit the specific needs of different robots.

4. What are some common examples of Robot Design Heuristics?

Some common examples of Robot Design Heuristics include modularity, simplicity, and robustness. Modularity refers to designing robots with interchangeable parts for easy maintenance and upgrades. Simplicity involves keeping the design as simple as possible to reduce complexity and increase reliability. Robustness focuses on designing robots that can withstand harsh environments and unexpected challenges.

5. How can Robot Design Heuristics benefit the field of robotics?

Robot Design Heuristics can greatly benefit the field of robotics by improving the overall quality and functionality of robots. By following these guidelines, robots can be designed to be more efficient, safe, and adaptable, leading to advancements in various industries such as manufacturing, healthcare, and space exploration.

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