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Found 7 papers, 4 papers with code
Tightly-Coupled LiDAR-IMU-Wheel Odometry with Online Calibration of a Kinematic Model for Skid-Steering Robots
The first indoor experiment shows that the proposed method is robust in severe degeneracy cases (long corridors) and changes in the wheel radii.
OmniLRS: A Photorealistic Simulator for Lunar Robotics
Trained on our synthetic data, a yolov8 model achieves performance close to a model trained on real-world data, with 5% performance gap.
Integration of Vision-based Object Detection and Grasping for Articulated Manipulator in Lunar Conditions
The integration of vision-based frameworks to achieve lunar robot applications faces numerous challenges such as terrain configuration or extreme lighting conditions.
SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images
The visuomotor system of any animal is critical for its survival, and the development of a complex one within humans is large factor in our success as a species on Earth.
RL STaR Platform: Reinforcement Learning for Simulation based Training of Robots
Reinforcement learning (RL) is a promising field to enhance robotic autonomy and decision making capabilities for space robotics, something which is challenging with traditional techniques due to stochasticity and uncertainty within the environment.
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning
To the best of our knowledge, this is the first paper to introduce a generic training algorithm teaching generalized PPMC in rough environments to any robot, with just the use of reinforcement learning.
Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications
Space exploration missions have seen use of increasingly sophisticated robotic systems with ever more autonomy.
