arXiv research summaries for Robotics from October 24, 2023. You can find summaries and links to each article here.
Today's Themes (LLM-Generated)
- Obstacle avoidance and motion planning - Several papers focus on allowing robots to navigate safely around obstacles, including using neural networks and reinforcement learning.
- Computer vision for state estimation - Multiple papers look at using computer vision and vision-language models to recognize binary states like whether a door is open or closed.
- Collision checking for motion planning - One paper examines certifying that motion plans generated by methods like RRTs are collision-free.
- Underwater robotics - A paper presents a refractive camera model for improved underwater visual-inertial odometry.
- Knowledge representation - A paper investigates translating virtual environments into knowledge graphs to represent robotic environments.
