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Exploring analytical gradients in physics simulation for computational design of dynamic systems, with applications in robotics, biomechanics, and computer graphics.
Explore dynamic robot manipulation through integrated planning, deep learning, and cloud computing for high-speed, reliable motions in unstructured environments.
Explore innovative approaches to robot perception and planning for manipulating diverse objects, enhancing capabilities in cloth handling, articulated objects, and transparent materials.
Explore algorithms for robots learning from imperfect human teachers, addressing inattention and inaccurate information to enhance interactive Reinforcement Learning and improve human-robot teaching interactions.
Explore cutting-edge algorithms for robust geometric perception in robotics, enhancing safety and reliability in autonomous systems across various applications.
Explore precise robotic generalization for pick-and-place tasks using simulation-learned models. Discover how visuo-tactile sensing enables accurate object manipulation and placement with sub-millimeter precision for novel items.
Explore joint optimization of physical design and computational reasoning for intelligent agents, enhancing sensor networks, legged robots, and soft robotics through machine learning techniques.
Exploring robotics autonomy to enhance human independence for those with motor impairments. Discusses challenges, research, and innovative approaches in assistive technology and rehabilitation robotics.
Explore interactive task learning for robots, focusing on designing collaborative human-AI systems. Discover advances in enabling robots to learn new tasks through natural interactions with humans.
Explores onion routing for anonymous online communication, presenting a novel protocol that achieves fault-tolerance, efficiency, and anonymity against active adversaries observing network traffic.
Explores communication complexity lower bounds in information-theoretic secure multiparty computation, covering perfect passive and malicious security settings with various party thresholds and reactive functionalities.
Explore online linear extractors for independent sources, focusing on key components of Windows 10's RNG design and examining the effectiveness of rotation as an extractor and condenser.
Explore statistical distance in security games, focusing on Hellinger distance as an alternative to max-log for bit security frameworks and leftover hash lemma applications.
Innovative hashing technique using three compression calls for five inputs, offering improved efficiency and security for Merkle-Damgård hashing and Merkle trees with potential applications in cryptography.
Explore novel fuzzy extractor construction using error-correcting codes and cryptographic groups, supporting MIPURS distributions for enhanced biometric authentication security.
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