Tumbling Robot Control Using Reinforcement Learning: An Adaptive Control Policy That Transfers Well to the Real World
A Schwartzwald, M Tlachac, L Guzman… - IEEE Robotics & …, 2022 - ieeexplore.ieee.org
Tumbling robots are simple platforms that are able to traverse large obstacles relative to
their size, at the cost of being difficult to control. Existing control methods apply only a subset …
their size, at the cost of being difficult to control. Existing control methods apply only a subset …
Optimizing gait libraries via a coverage metric
Many robots move through the world by composing locomotion primitives like steps and
turns. To do so well, robots need not have primitives that make intuitive sense to humans …
turns. To do so well, robots need not have primitives that make intuitive sense to humans …
Robots made from ice: an analysis of manufacturing techniques
Modular robotic systems with self-repair or self-replication capabilities have been presented
as a robust, low cost solution to extraterrestrial or Arctic exploration. This paper explores …
as a robust, low cost solution to extraterrestrial or Arctic exploration. This paper explores …
Sim-to-real with domain randomization for tumbling robot control
A Schwartzwald… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Tumbling locomotion allows for small robots to traverse comparatively rough terrain,
however, their motion is complex and difficult to control. Existing tumbling robot control …
however, their motion is complex and difficult to control. Existing tumbling robot control …
GREEMA: Proposal and Experimental Verification of Growing Robot by Eating Environmental Material for Landslide Disaster
Y Tsunoda, Y Sato, K Osuka - Journal of Robotics and Mechatronics, 2024 - jstage.jst.go.jp
In areas inaccessible to humans, such as the lunar surface and landslide sites, there is a
need for multiple autonomous mobile robot systems that can replace human workers …
need for multiple autonomous mobile robot systems that can replace human workers …
Behaviour Aesthetics of Reinforcement Learning in a Robotic Art Installation
S Audry, R Dumont-Gagné, H Scurto - 4th NeurIPS Workshop on …, 2020 - hal.science
This paper presents our practice with reinforcement learning (RL) in the context of a robotic
art project. We adopted a design-oriented approach to RL, privileging embodied robot …
art project. We adopted a design-oriented approach to RL, privileging embodied robot …