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The neuromechanics of animal locomotion: From biology to robotics and back
P Ramdya, AJ Ijspeert - Science Robotics, 2023 - science.org
Robotics and neuroscience are sister disciplines that both aim to understand how agile,
efficient, and robust locomotion can be achieved in autonomous agents. Robotics has …
efficient, and robust locomotion can be achieved in autonomous agents. Robotics has …
A critical review of communications in multi-robot systems
Abstract Purpose of Review This review summarizes the broad roles that communication
formats and technologies have played in enabling multi-robot systems. We approach this …
formats and technologies have played in enabling multi-robot systems. We approach this …
Learning robust autonomous navigation and locomotion for wheeled-legged robots
Autonomous wheeled-legged robots have the potential to transform logistics systems,
improving operational efficiency and adaptability in urban environments. Navigating urban …
improving operational efficiency and adaptability in urban environments. Navigating urban …
Scientific exploration of challenging planetary analog environments with a team of legged robots
The interest in exploring planetary bodies for scientific investigation and in situ resource
utilization is ever-rising. Yet, many sites of interest are inaccessible to state-of-the-art …
utilization is ever-rising. Yet, many sites of interest are inaccessible to state-of-the-art …
Dreamwaq: Learning robust quadrupedal locomotion with implicit terrain imagination via deep reinforcement learning
Quadrupedal robots resemble the physical ability of legged animals to walk through
unstructured terrains. However, designing a controller for quadrupedal robots poses a …
unstructured terrains. However, designing a controller for quadrupedal robots poses a …
Locomotion as manipulation with reachbot
Caves and lava tubes on the Moon and Mars are sites of geological and astrobiological
interest but consist of terrain that is inaccessible with traditional robot locomotion. To support …
interest but consist of terrain that is inaccessible with traditional robot locomotion. To support …
Agile but safe: Learning collision-free high-speed legged locomotion
T He, C Zhang, W ** Framework
Integration of multiple sensor modalities and deep learning into Simultaneous Localization
And Map** (SLAM) systems are areas of significant interest in current research. Multi …
And Map** (SLAM) systems are areas of significant interest in current research. Multi …
TAMOLS: Terrain-aware motion optimization for legged systems
Terrain geometry is, in general, nonsmooth, nonlinear, nonconvex, and, if perceived through
a robot-centric visual unit, appears partially occluded and noisy. This article presents the …
a robot-centric visual unit, appears partially occluded and noisy. This article presents the …