An open textbook focusing on the computational principles governing autonomous robots. The text explores essential components including mechanisms, sensors, actuators, and algorithms required for robotic functionality. While published by MIT Press, source code is released under Creative Commons licensing for non-commercial purposes such as teaching.
* Mechanisms, Sensors, Actuators, and Algorithms
* Computational principles of robotics
* Mechanisms, Sensors, Actuators, and Algorithms
* Computational principles of robotics
Researchers at MIT CSAIL have developed the Y-zipper, a three-sided fastener that enables objects to transition between flexible and rigid states. Inspired by a decades-old patent from Professor Bill Freeman, this new mechanism uses an automated software tool and 3D printing technology to create custom shape-shifting structures. The device can be used to quickly assemble camping gear, adjust medical wearables like wrist casts, or enable robots to change their limb dimensions for varied terrain.
* Three-sided triangular design for tunable stiffness
* Automated customization via software and 3D printing
* Rapid transition between soft and rigid states
* Versatile applications in robotics, medical gear, and outdoor equipment
* Three-sided triangular design for tunable stiffness
* Automated customization via software and 3D printing
* Rapid transition between soft and rigid states
* Versatile applications in robotics, medical gear, and outdoor equipment
These working notes by Russ Tedrake cover nonlinear dynamics and control with a specific focus on mechanical systems. The material explores how to achieve robust, efficient, and graceful robot movement through the integration of mechanical design, passive dynamics, and nonlinear control synthesis. Rather than relying solely on model-free approaches, the text emphasizes using the underlying structure of dynamical equations to develop more data-efficient and robust algorithms via optimization and machine learning.
Main topics include:
* Model systems such as pendulums, acrobots, cart-poles, and quadrotors
* Simple models of walking and running dynamics
* Nonlinear planning and control using trajectory optimization and LQR
* Lyapunov analysis for stability and reachability
* Estimation techniques including Kalman filters and Bayesian methods
* Learning-based approaches such as imitation learning, policy search, and system identification
* Contact-implicit trajectory optimization and hybrid systems
Main topics include:
* Model systems such as pendulums, acrobots, cart-poles, and quadrotors
* Simple models of walking and running dynamics
* Nonlinear planning and control using trajectory optimization and LQR
* Lyapunov analysis for stability and reachability
* Estimation techniques including Kalman filters and Bayesian methods
* Learning-based approaches such as imitation learning, policy search, and system identification
* Contact-implicit trajectory optimization and hybrid systems
Personal website of Alex L. Zhang, a PhD student at MIT CSAIL focusing on the efficiency and utilization of language models. His research spans ML systems, language model benchmarks, and specialized model development.
Key areas of work include:
- Recursive Language Models (RLMs) and Project Popcorn
- GPU programming competitions via KernelBot and GPU MODE
- Benchmarking capabilities through VideoGameBench and KernelBench
- Development of models like Neo-1 and KernelLLM-8B
Key areas of work include:
- Recursive Language Models (RLMs) and Project Popcorn
- GPU programming competitions via KernelBot and GPU MODE
- Benchmarking capabilities through VideoGameBench and KernelBench
- Development of models like Neo-1 and KernelLLM-8B
MIT researchers have mapped the neural processes that allow C. elegans to navigate toward attractive odors or away from aversive ones. By tracking the electrical activity of over 100 neurons, the study revealed a specific sequence of neural activation, moving through stages of sensing, planning turns, reversing, and executing movement, that shows these organisms act with more intentionality than previously understood. The coordination of this entire sensorimotor arc is driven by the neuromodulator tyramine.
- specific neurons responsible for odor detection, turn planning, and motor execution.
- precise sequence of forward, reverse, and turning motions to navigate gradients.
- Role of the neuron RIM and the chemical tyramine in organizing sequential brain activity patterns.
- specific neurons responsible for odor detection, turn planning, and motor execution.
- precise sequence of forward, reverse, and turning motions to navigate gradients.
- Role of the neuron RIM and the chemical tyramine in organizing sequential brain activity patterns.
Cognitive scientists Lisa Feldman Barrett and Earl K. Miller propose a paradigm shift in understanding brain categorization. Moving away from the traditional view that the brain compares sensory input to stored prototypes, they argue that categorization is a predictive process used to meet bodily needs through motor action plans. In this model, categories are dynamically constructed signals that shape how we perceive incoming information rather than being late-stage intellectual exercises.
Key points:
* Categorization serves as a core function for anticipating bodily needs and motor actions.
* The brain is predictive rather than reactive, preparing responses before sensory processing is complete.
* Anatomical evidence shows that feedback connections from memory to sensory regions significantly outweigh feedforward signals.
* Misalignment in these processes may contribute to conditions like depression or autism.
Key points:
* Categorization serves as a core function for anticipating bodily needs and motor actions.
* The brain is predictive rather than reactive, preparing responses before sensory processing is complete.
* Anatomical evidence shows that feedback connections from memory to sensory regions significantly outweigh feedforward signals.
* Misalignment in these processes may contribute to conditions like depression or autism.
This page provides an overview of the 'Missing Semester' course, focusing on the importance of the shell as a powerful tool for computer scientists. It covers motivation, class structure, the basics of navigating and using the shell, and exercises to reinforce learning. The course aims to equip students with practical skills beyond rote memorization of commands, enabling them to automate tasks and solve complex problems efficiently.
A new MIT study reveals a significant lack of transparency and safety measures in agentic AI systems, with many offering no disclosure about risks or ways to shut down rogue bots.
A look at Roger Zelazny's 'Lord of Light,' a science fiction novel blending Hindu mythology with futuristic technology, and its intriguing history, including alleged CIA interest and attempts to suppress its distribution. The article details the book's unique premise, its influence on other works, and the reasons behind the CIA's reported concerns.
A paraphrasing of Gerald Jay Sussman's explanation for MIT's switch from Scheme to Python in its undergraduate computer science program, focusing on the changing nature of programming and the need to adapt to modern systems and libraries.
