Inverse kinematics techniques in computer graphics: A survey
Inverse kinematics (IK) is the use of kinematic equations to determine the joint parameters of
a manipulator so that the end effector moves to a desired position; IK can be applied in many …
a manipulator so that the end effector moves to a desired position; IK can be applied in many …
Interactive character animation using simulated physics: A state‐of‐the‐art review
Physics simulation offers the possibility of truly responsive and realistic animation. Despite
wide adoption of physics simulation for the animation of passive phenomena, such as fluids …
wide adoption of physics simulation for the animation of passive phenomena, such as fluids …
Ase: Large-scale reusable adversarial skill embeddings for physically simulated characters
The incredible feats of athleticism demonstrated by humans are made possible in part by a
vast repertoire of general-purpose motor skills, acquired through years of practice and …
vast repertoire of general-purpose motor skills, acquired through years of practice and …
Physics-based character controllers using conditional vaes
High-quality motion capture datasets are now publicly available, and researchers have used
them to create kinematics-based controllers that can generate plausible and diverse human …
them to create kinematics-based controllers that can generate plausible and diverse human …
Fast and efficient locomotion via learned gait transitions
We focus on the problem of develo** energy efficient controllers for quadrupedal robots.
Animals can actively switch gaits at different speeds to lower their energy consumption. In …
Animals can actively switch gaits at different speeds to lower their energy consumption. In …
Transfer from simulation to real world through learning deep inverse dynamics model
P Christiano, Z Shah, I Mordatch, J Schneider… - ar** control policies in simulation is often more practical and safer than directly
running experiments in the real world. This applies to policies obtained from planning and …
running experiments in the real world. This applies to policies obtained from planning and …
Flexible muscle-based locomotion for bipedal creatures
We present a muscle-based control method for simulated bipeds in which both the muscle
routing and control parameters are optimized. This yields a generic locomotion control …
routing and control parameters are optimized. This yields a generic locomotion control …
Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning
Basketball is one of the world's most popular sports because of the agility and speed
demonstrated by the players. This agility and speed makes designing controllers to realize …
demonstrated by the players. This agility and speed makes designing controllers to realize …
Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation
The computational design of soft underwater swimmers is challenging because of the high
degrees of freedom in soft-body modeling. In this paper, we present a differentiable pipeline …
degrees of freedom in soft-body modeling. In this paper, we present a differentiable pipeline …
Learning body shape variation in physics-based characters
Recently, deep reinforcement learning (DRL) has attracted great attention in designing
controllers for physics-based characters. Despite the recent success of DRL, the learned …
controllers for physics-based characters. Despite the recent success of DRL, the learned …