SLAM - 5 Minutes with Cyrill
Unknown
Short lecture by Cyrill Stachniss of the University of Bonn explaining simultaneous localization and mapping. Viewers come away understanding why a robot must estimate its own pose and a map together, and how the problem is framed probabilistically.
More resources on Autonomous Systems
Robohub
Nonprofit robotics communication platform where researchers, engineers and industry experts publish articles, interviews, podcasts and research summaries on autonomous systems, robot learning, field and medical robotics, and the societal impact of robots, useful for following the field.
ros.org
ROS.org is the official portal for the Robot Operating System, a flexible, open-source framework for building robot software. It provides comprehensive documentation, tutorials, API references, distribution releases, and community resources to help learners and developers build and deploy robotics applications.
Duckietown
Robotics education platform started at MIT in 2016, built around small autonomous vehicles driving in a miniature city. Its open curriculum and hardware teach perception, localization, planning and control by having learners program and run self-driving robots.
LaValle Planning Algorithms
Steven LaValle's 2006 Cambridge University Press textbook, free online in full. Covers discrete planning, sampling-based motion planning such as RRTs and roadmaps, decision-theoretic planning and planning under differential constraints, giving readers the algorithmic foundations of robot motion planning.
Underactuated Robotics (MIT 6.832)
Nonlinear dynamics and control of underactuated systems such as walkers, swimmers and flyers: motion planning, partial feedback linearization, energy shaping, optimal control and reinforcement learning. Includes 23 lecture videos, problem sets with solutions and projects, preparing learners to design controllers that exploit natural dynamics.
Autonomous Drone Racing: A Survey
IEEE Transactions on Robotics survey of autonomous drone racing, comparing model-based and learning-based methods for state estimation, perception under motion blur, time-optimal trajectory planning and control at extreme speeds. Readers gain a map of the agile-flight literature and its open problems.