Animation of dynamic legged locomotion

By M. Raibert, Jessica K. Hodgins. 1991

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Citations in the corpus

Benchmarking Deep Reinforcement Learning for Continuous Control (2016, neutral): “…1908; Donaldson, 1960; Widrow, 1964; Michie & Chambers, 1968), Cart-Pole Swing Up (Kimura & Kobayashi, 1999; Doya, 2000), Mountain Car (Moore, 1990), Acrobot Swing Up (DeJong & Spong, 1994; Murray & Hauser, 1991; Doya, 2000), and Double Inverted Pendulum Balancing (Furuta et al., 1978).”
Evolving virtual creatures (1994, background): “to successfully crawl, walk, or even run [11,12,16], but a new control algorithm must be carefully designed each time a new behavior or morphology is desired.”
Motion capture assisted animation: texturing and synthesis (2002, methodology): “Jessica Hodgins and her colleagues have developed a method of applying control systems to virtual humans [43] and applied it to create animations of humans performing athletic events such as running, biking and a gymnast vaulting [25].”
Terrain-adaptive bipedal locomotion control (2010, methodology): “These controllers can be manually constructed [Raibert and Hodgins 1991; Stewart and Cremer 1992; Hodgins et al. 1995] or be further fine-tuned using automatic methods [van de Panne et al.”
SIMBICON: simple biped locomotion control (2007, methodology): “[Hodgins 1991; Raibert and Hodgins 1991] use only the velocity for control of hopping, sampled once per hop, and use a fixed step length for walking.”
NeuroAnimator: fast neural network emulation and control of physics-based models (1998, background): “Raibert (Raibert and Hodgins, 1991) synthesized useful controllers for hoppers, kangaroos, bipeds, and quadrupeds by decomposing the problem into a set of simple manageable control tasks.”
Mode-adaptive neural networks for quadruped motion control (2018, methodology): “Wampler et al. [2014] propose an optimization approach for synthesizing locomotion of quadrupeds with different sizes and skeletal structure but the movements are limited to planer frontal movements, and retargeting each motion will be an offline process.”
Catch & Carry (2019, background): “But it is also a topic of longstanding interest in the graphics and animation setting [since e.g. Raibert and Hodgins 1991; Van de Panne and Fi-ume 1993] – the ability to control agents with physically simulated bodies and sensors that naturally behave in response to high-level instructions may…”