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Simple Robotics Simple Robotics: to come soon...
Meanwhile, you can still follow us on GitHub, YouTube, or read some cool papers from the Simple Robotics team:

• Efficient and Versatile QP Solver for Real-Time Roboticsc (IEEE T-RO 2025).
• Differentiable QP Solver.
• Differentiable Simulator for Soft Robotics.
• Contact solver of the Simple simulator.
• Gradients of the Simple simulator.
• Parallelized constrained Riccati solver for real-time nonlinear MPC.
• Low complexity differential inverse kinematics solver.
• Analysis of contact models in robotics.
• About limitations and extensions of RaiSim simulator.
• Constrained Articulated Body Algorithms (IEEE T-RO 2024)
• A data-driven contact estimation method for wheeled-biped robots.
• Optimal complexity OSIM/Delassus algorithm. (IEEE RA-L 2024)
• Constrained Articulated Body Algorithm for Closed Loop Mechanisms.
• GJK++: Leveraging Acceleration Methods for Faster Collision Detection. (IEEE T-RO 2024)
• Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control.
• Reconciling RaiSim with the Maximum Dissipation Principle. (IEEE T-RO 2024)
• ProxDDP: Proximal Constrained Trajectory Optimization. (IEEE T-RO 2025)
• Guided Flow Policy: Learning from High-Value Actions in Offline RL. (ICLR 2026)
• SVL: Goal-Conditioned Reinforcement Learning as Survival Learning. (ICML 2026)

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