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πΆπ‘Žπ‘Ÿπ‘Žπ‘šπ‘–π‘§π‘Žπ‘Ÿπ‘’'𝑠 π΅π‘™π‘œπ‘”


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  • Summer School on Direct Methods for Optimal Control of Nonsmooth Systems
  • Thesis Scientific Computing
  • Advancements in Trajectory Optimization and Model Predictive Control for Legged Systems
  • Calibrating Kinematic Parameters Using Force Sensors
  • Lie theory for the roboticist
  • Robot Design Optimization Using Meshes
  • Differentiable Simulation Methods for Robotic Agent Design
  • Do Differentiable Simulators Give Better Policy Gradients?
  • From Compliant Mechanisms to Hyper-Elastic Robots
  • Motion Planning Around Obstacles with Graphs of Convex Sets
  • Combining learning and geometry for robot perception and navigation
  • 2.160 Identification, Estimation, and Learning
  • Differentiable Simulation Methods for Robotic Agent Design
  • Geometric mechanics of continuum and articulated soft robots
  • Computational Design of Origami and Compliant Robots
  • Computational Symmetry and Learning for Robotics
  • Optimal Control - 2022
  • Optimal Control 2023
  • Robust Autonomous Vehicle Localization using GPS: from Tandem Drifting Cars to β€œGPS” on the Moon
  • Building an Internal Cycloidal Robotic Actuator
  • MIT Robotics - Dieter Fox - Toward Foundational Robot Manipulation Skills
  • Princeton Robotics - Russ Tedrake - Dexterous Manipulation with Diffusion Policies
  • Optimization for Control and Planning of Multi-contact Dynamic Motion
  • Towards Computational Design of Shape and Control for Rigid Robots
  • TCOptRob Seminar: Learning complex behaviors with nonlinear MPC by Ludovic Righetti of NYU
  • Jemin Hwangbo (KAIST): Large-scale policy training for robots
  • PhD Thesis Defense - Sangwoon Kim - TEXterity: Tactile Extrinsic deXterity
  • Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
  • Autonomy Talks - Stelian Coros: Physics-based Modeling and the Quest for Intelligent Robots
  • Control Architectures for Agile-Legged Robots
  • Advancing Legged Robot Agility: from Video Imitation to GPU Acceleration
  • Leveraging Structure for Efficient and Dexterous Contact-Rich Manipulation
  • Leveraging Parallelism to Accelerate Quadratic Program Solvers for MPC
  • Algorithms and Architectures for Improving Optimization Layers
  • Stanford Seminar - The Trouble with Contact: Helping Robots Touch the World
  • Advanced Control for Robotics
  • DeepMind x UCL | Introduction to Reinforcement Learning 2015
  • Real-time constrained trajectory optimization in robotics: theory, implementation, and application
  • Introduction to Flow Matching and Diffusion Models
  • Memmo Winter School 2019
  • Optimization and Learning for Robot Control 2025
  • Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRL

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