Open Dynamics Engine を用いたスノーボードロボットシミュレータの開発

By 山田祐, 平田隆幸. 2007

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Citations in the corpus

Learning quadrupedal locomotion over challenging terrain (2020, background): “As a result, phenomena such as mud, snow, thick vegetation, gushing water, and many others are beyond the capabilities of robotics simulation frameworks [30–32].”
Learning agile and dynamic motor skills for legged robots (2019, background): “(41), efficient recursive algorithms for computing dynamic properties of articulated systems (composite rigid-body algorithm and recursive Newton-Euler algorithm) (40), and a fast collision-detection library (42).”
A compilation of UAV applications for precision agriculture (2020, methodology): “In order to evaluate their system, the authors utilise the Novint Falcon haptic device (HapticsHouse) [125, 126] as well as a simulated environment by combining the Robot Operating System (ROS) [80, 81], the Gazebo simulator [90, 127] and the Open Dynamic Engine (ODE) tool [128].”
FCL: A general purpose library for collision and proximity queries (2012, methodology): “FCL was compared against prior collision checking capabilities in ROS, which are based on ODE [1].”
V-REP: A versatile and scalable robot simulation framework (2013, background): “It supports conditional, damped/undamped, and weighted resolution. x Dynamics module: allows handling rigid body dynamics calculation and interaction (collision response, grasping, etc.) via the Bullet Physics Library [9] and the Open Dynamics Engine [10].”
Discrete elastic rods (2008, methodology): “For the unconstrained step, we use an explicit symplectic Euler integrator (Algorithm step 7), and we call the ODE [Smith 2008] library to time step the rigid-body (Algorithm step 5).”
Full DOF tracking of a hand interacting with an object by modeling occlusions and physical constraints (2011, methodology): “This is effectively computed using the Open Dynamics Engine (ODE) [24].”
Learning to grasp under uncertainty (2011, background): “This means fluctuations in the learning curve are really due to learning, and not due to random changes in the evaluation positions.”