The grand challenges of Science Robotics

GZ Yang, J Bellingham, PE Dupont, P Fischer… - Science robotics, 2018 - science.org
One of the ambitions of Science Robotics is to deeply root robotics research in science while
developing novel robotic platforms that will enable new scientific discoveries. Of our 10 …

A concise guide to modelling the physics of embodied intelligence in soft robotics

G Mengaldo, F Renda, SL Brunton, M Bächer… - Nature Reviews …, 2022 - nature.com
Embodied intelligence (intelligence that requires and leverages a physical body) is a well-
known paradigm in soft robotics, but its mathematical description and consequent …

Learning agile and dynamic motor skills for legged robots

J Hwangbo, J Lee, A Dosovitskiy, D Bellicoso… - Science Robotics, 2019 - science.org
Legged robots pose one of the greatest challenges in robotics. Dynamic and agile
maneuvers of animals cannot be imitated by existing methods that are crafted by humans. A …

Representation-free model predictive control for dynamic motions in quadrupeds

Y Ding, A Pandala, C Li, YH Shin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a novel representation-free model predictive control (RF-MPC)
framework for controlling various dynamic motions of a quadrupedal robot in three …

Bio-inspired geotechnical engineering: principles, current work, opportunities and challenges

A Martinez, J DeJong, I Akin, A Aleali, C Arson… - …, 2022 - icevirtuallibrary.com
A broad diversity of biological organisms and systems interact with soil in ways that facilitate
their growth and survival. These interactions are made possible by strategies that enable …

Animal robots in the African wilderness: Lessons learned and outlook for field robotics

K Melo, T Horvat, AJ Ijspeert - Science Robotics, 2023 - science.org
In early 2016, we had the opportunity to test a pair of sprawling posture robots, one
designed to mimic a crocodile and another designed to mimic a monitor lizard, along the …

Rloc: Terrain-aware legged locomotion using reinforcement learning and optimal control

S Gangapurwala, M Geisert, R Orsolino… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
We present a unified model-based and data-driven approach for quadrupedal planning and
control to achieve dynamic locomotion over uneven terrain. We utilize on-board …

Human movement variability, nonlinear dynamics, and pathology: is there a connection?

N Stergiou, LM Decker - Human movement science, 2011 - Elsevier
Fields studying movement generation, including robotics, psychology, cognitive science,
and neuroscience utilize concepts and tools related to the pervasiveness of variability in …

Biorobotics: Using robots to emulate and investigate agile locomotion

AJ Ijspeert - science, 2014 - science.org
The graceful and agile movements of animals are difficult to analyze and emulate because
locomotion is the result of a complex interplay of many components: the central and …

Reverse-engineering the locomotion of a stem amniote

JA Nyakatura, K Melo, T Horvat, K Karakasiliotis… - Nature, 2019 - nature.com
Reconstructing the locomotion of extinct vertebrates offers insights into their palaeobiology
and helps to conceptualize major transitions in vertebrate evolution 1, 2, 3, 4. However …