Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Computational Robot Design: Co-Optimization Insights
Graph Chatbot
Related lectures (31)
Previous
Page 2 of 4
Next
Learning Physically-Consistent Gaussian Mixture Model
Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.
Robot Competition: Project-based Learning in Robotics
Presents the Robot Competition, where students design robots to collect waste in an arena, offering hands-on interdisciplinary learning and a friendly competition.
Embracing Complexity for Enduring and Adaptive Robots
Delves into the necessity of complex organ systems in robots to enhance their abilities and lifespan.
Center Pathet Generators for Agile Locomotion
Explores the use of Center Pathet Generators for agile locomotion in medium-sized robots.
Controlling Behavior in Animals and Robots
Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.
Robot Simulation and Programming
Covers the basics of robot simulation and programming using Webots.
Robotics: The State!
Explores the state of robotics research, covering interdisciplinary challenges, sensor technologies, and human-robot collaboration architectures.
Robotics: Introduction and Kinematics
Introduces key robotics concepts, from kinematics to control strategies, actuators, and sensors.
Computational Robot Design: Differentiable Simulation and Control
Explores optimization-driven design, differentiable simulation, control strategies, and the evolution of virtual creatures and soft machines.
Soft Robotics: Design Challenges and Applications
Explores the paradigm shift in robotic design towards highly predictable and programmable robots with augmented performance.