Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 13 additions & 0 deletions HISTORY.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
# Added first paper to the personal

## Details related to the paper added:
1. ### Paper name:
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots

### Date added:
March, 6th, 2025

### Issues encountered while addding to personal fork
Initially used the http link to clone the repo locally. Cloning was successful however, there was an issue while pushing.

Next, I used ssh to clone the GitHub repository locally which worked for cloning and pushing the changes.
49 changes: 49 additions & 0 deletions _data/paperlist.yml
Original file line number Diff line number Diff line change
@@ -1,5 +1,54 @@
papers:

- abstract: 'Soft robotics is a rapidly growing area of robotics research that would

benefit greatly from design automation, given the challenges of manually

engineering complex, compliant, and generally non-intuitive robot body plans

and behaviors. It has been suggested that a major hurdle currently limiting

soft robot brain-body co-optimization is the fragile specialization between a

robot''s controller and the particular body plan it controls, resulting in

premature convergence. Here we posit that modular controllers are more robust

to changes to a robot''s body plan. We demonstrate a decreased reduction in

locomotion performance after morphological mutations to soft robots with

modular controllers, relative to those with similar global controllers -

leading to fitter offspring. Moreover, we show that the increased

transferability of modular controllers to similar body plans enables more

effective brain-body co-optimization of soft robots, resulting in an increased

rate of positive morphological mutations and higher overall performance of

evolved robots. We hope that this work helps provide specific methods to

improve soft robot design automation in this particular setting, while also

providing evidence to support our understanding of the challenges of brain-body

co-optimization more generally.'
authors:
- Alican Mertan
- Nick Cheney
bibtex: " @inproceedings{Mertan_2023, series={GECCO \u201923}, title={Modular Controllers\
\ Facilitate the Co-Optimization of Morphology and Control in Soft Robots}, url={http://dx.doi.org/10.1145/3583131.3590416},\
\ DOI={10.1145/3583131.3590416}, booktitle={Proceedings of the Genetic and Evolutionary\
\ Computation Conference}, publisher={ACM}, author={Mertan, Alican and Cheney,\
\ Nick}, year={2023}, month=jul, pages={174\u2013183}, collection={GECCO \u2019\
23} }\n"
pdfurl: http://arxiv.org/pdf/2306.09358v1
title: "Modular Controllers Facilitate the Co\u2013Optimization of Morphology and\
\ Control in Soft Robots"
year: 2023

- abstract: 'While significant research progress has been made in robot learning for

control, unique challenges arise when simultaneously co-optimizing morphology.
Expand Down