Self-organizing manufacturing network: A paradigm towards smart manufacturing in mass personalization

Z Qin, Y Lu - Journal of Manufacturing Systems, 2021 - Elsevier
Mass personalization is becoming a reality. It requires responsive and flexible
manufacturing operations for producing individualized products in dynamic batch sizes at …

The science of soft robot design: A review of motivations, methods and enabling technologies

F Stella, J Hughes - Frontiers in Robotics and AI, 2023 - frontiersin.org
Novel technologies, fabrication methods, controllers and computational methods are rapidly
advancing the capabilities of soft robotics. This is creating the need for design techniques …

Outlook on human-centric manufacturing towards Industry 5.0

Y Lu, H Zheng, S Chand, W Xia, Z Liu, X Xu… - Journal of Manufacturing …, 2022 - Elsevier
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …

Embodied intelligence via learning and evolution

A Gupta, S Savarese, S Ganguli, L Fei-Fei - Nature communications, 2021 - nature.com
The intertwined processes of learning and evolution in complex environmental niches have
resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal …

Evolution gym: A large-scale benchmark for evolving soft robots

J Bhatia, H Jackson, Y Tian, J Xu… - Advances in Neural …, 2021 - proceedings.neurips.cc
Both the design and control of a robot play equally important roles in its task performance.
However, while optimal control is well studied in the machine learning and robotics …

Joinable: Learning bottom-up assembly of parametric cad joints

KDD Willis, PK Jayaraman, H Chu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Physical products are often complex assemblies combining a multitude of 3D parts modeled
in computer-aided design (CAD) software. CAD designers build up these assemblies by …

An end-to-end differentiable framework for contact-aware robot design

J Xu, T Chen, L Zlokapa, M Foshey, W Matusik… - arXiv preprint arXiv …, 2021 - arxiv.org
The current dominant paradigm for robotic manipulation involves two separate stages:
manipulator design and control. Because the robot's morphology and how it can be …

Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation

P Ma, T Du, JZ Zhang, K Wu, A Spielberg… - ACM Transactions on …, 2021 - dl.acm.org
The computational design of soft underwater swimmers is challenging because of the high
degrees of freedom in soft-body modeling. In this paper, we present a differentiable pipeline …

Doc: Differentiable optimal control for retargeting motions onto legged robots

R Grandia, F Farshidian, E Knoop… - ACM Transactions on …, 2023 - dl.acm.org
Legged robots are designed to perform highly dynamic motions. However, it remains
challenging for users to retarget expressive motions onto these complex systems. In this …

Learning-based design and control for quadrupedal robots with parallel-elastic actuators

F Bjelonic, J Lee, P Arm, D Sako… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Parallel-elastic joints can improve the efficiency and strength of robots by assisting the
actuators with additional torques. For these benefits to be realized, a spring needs to be …