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+Projects with Myosuite
+#########################################
+
+.. _projects:
+
+* :ref:`myochallenge`
+    * :ref:`myo_challenge_22`
+    * :ref:`myo_challenge_23`
+    * :ref:`myo_challenge_24`
+* :ref:`pub_with_myosuite`
+    * :ref:`ref_myodex`
+    * :ref:`ref_deprl`
+    * :ref:`ref_lattic`
+    * :ref:`ref_sar`
+
+
+.. _myochallenge:
+
+MyoChallenge
+========================================
+MyoChallenge is an annual event organized by the MyoSuite team to advance our understanding 
+of the physiological motor control essential for dexterous and agile movements of the human body.
+
+.. _myo_challenge_22:
+
+MyoChallenge-2022: Learning Physiological Dexterity
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+`MyoChallenge 2022 <https://sites.google.com/view/myochallenge>`__ : Learning Physiological Dexterity
+
+This competition focuses on learning contact-rich manipulation skills for a physiologically 
+realistic musculo-skeletal hand. The goal of MyoChallenge is to push our understanding of physiological motor-control responsible
+for nimble and agile movements of the human body. In the current edition of MyoChallenge, 
+we are focusing on developing controllers for contact rich dexterous manipulation behaviors. 
+This challenge builds upon the MyoSuite ecosystem -- a fast (>4000x faster) and contact-rich framework 
+for musculoskeletal motor control. 
+
+
+
+.. _myo_challenge_23:
+
+MyoChallenge-2023: Towards Human-Level Dexterity and Agility
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+`MyoChallenge 2023 <https://sites.google.com/view/myosuite/myochallenge/myochallenge-2023>`__ : Towards Human-Level Dexterity and Agility
+
+Humans effortlessly grasp objects of diverse shapes and properties and execute 
+agile locomotion without overwhelming their cognitive capacities. This ability was acquired 
+through millions of years of evolution, which honed the symbiotic relationship between the central and 
+peripheral nervous systems and the musculoskeletal structure. Consequently, it is not surprising that 
+uncovering the intricacies of these complex, evolved systems underlying human movement remains a formidable 
+challenge. Advancements in neuromechanical simulations and data driven methods offer promising avenues to 
+overcome these obstacles. 
+
+.. _myo_challenge_24:
+
+
+MyoChallenge 2024: Physiological Dexterity and Agility in Enhanced Humans
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+
+`MyoChallenge 2024 <https://sites.google.com/view/myosuite/myochallenge/myochallenge-2024>`__: Physiological Dexterity and Agility in Enhanced Humans
+
+The movement generalization and environment adaptability skills displayed by humans using bionic extensions are
+a testament to motor intelligence, a capability yet unmatched by current artificial intelligence. 
+
+Limb loss profoundly affects an individual's quality of life and independence. Bionic prosthetic limbs provide a chance to restore mobility and functionality, enabling 
+users to compensate for their lost limbs and regain motor abilities. The adaptability and movement skills of bionic limb users highlight a level of motor intelligence 
+that current artificial intelligence agents have yet to achieve.
+
+The MyoChallenge 2024 will push the boundaries on how symbiotic human-robotic interaction needs to be coordinated to produce agile and dexterous behaviors.
+
+.. _pub_with_myosuite:
+
+Publications with Myosuite
+========================================
+
+
+Please feel free to create a PR for your own project with Myosuite
+
+.. _ref_myodex:
+
+MyoDex: A Generalizable Prior for Dexterous Manipulation
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+Link avaiable at `here <https://sites.google.com/view/myodex>`__
+
+
+
+.. _ref_deprl:
+
+DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+Link avaiable at `here <https://github.com/martius-lab/depRL>`__
+
+
+
+.. _ref_lattic:
+
+Lattice: Latent Exploration for Reinforcement Learning
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+Link avaiable at `here <https://github.com/amathislab/lattice>`__
+
+
+
+.. _ref_sar:
+
+SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+
+Link avaiable at `here <https://sites.google.com/view/sar-rl>`__
+