Learning-based end-to-end navigation for planetary rovers considering non-geometric hazards
Autonomous navigation plays an increasingly crucial role in rover-based planetary missions.
End-to-end navigation approaches developed upon deep reinforcement learning have …
End-to-end navigation approaches developed upon deep reinforcement learning have …
An Efficient Global Trajectory Planner for Highly Dynamical Nonholonomic Autonomous Vehicles on 3D Terrains
A novel hierarchical global trajectory planner is presented to allow highly dynamical
nonholonomic off-road autonomous vehicles to achieve high mobility on 3-D terrains. On …
nonholonomic off-road autonomous vehicles to achieve high mobility on 3-D terrains. On …
Roadmaps with gaps over controllers: Achieving efficiency in planning under dynamics
This paper aims to improve the computational efficiency of motion planning for mobile robots
with non-trivial dynamics through the use of learned controllers. Offline, a system-specific …
with non-trivial dynamics through the use of learned controllers. Offline, a system-specific …
Control Inference Neural Network for Motion Planning with Dynamical Systems
G Palomares, I Becerra… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
This letter proposes an approach that combines the use of sampling-based motion planning
with machine learning algorithms. In particular, the asymptotically optimal planner SST* is …
with machine learning algorithms. In particular, the asymptotically optimal planner SST* is …
: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
A Sivaramakrishnan, S Tangirala, DM Ramesh… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper aims to increase the safety and reliability of executing trajectories planned for
robots with non-trivial dynamics given a light-weight, approximate dynamics model …
robots with non-trivial dynamics given a light-weight, approximate dynamics model …
Safety and Efficiency for High-Dimensional Robots: Integrating Learning, Planning and Control
S Tangirala - 2024 - search.proquest.com
In this thesis, I tackle two pivotal challenges in robotics: enhancing safety control via regions
of attraction (RoA) estimation and boosting the computational efficiency of motion planning …
of attraction (RoA) estimation and boosting the computational efficiency of motion planning …
Design and Fabrication of Metal Sensor Integrated All Terrain Robot with Live Streaming
KN Prasad, S Khamruddin, S Srinivas - Journal of Science & Technology …, 2023 - jst.org.in
The robot is designed to traverse various terrains, detect metallic objects, and provide real-
time video streaming for remote monitoring and surveillance applications. The all-terrain …
time video streaming for remote monitoring and surveillance applications. The all-terrain …