diff --git a/HISTORY.md b/HISTORY.md new file mode 100644 index 0000000..beb4092 --- /dev/null +++ b/HISTORY.md @@ -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. diff --git a/_data/paperlist.yml b/_data/paperlist.yml index c2d2df9..d464f6a 100644 --- a/_data/paperlist.yml +++ b/_data/paperlist.yml @@ -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.