2 citations · 2 across the 3 of their papers we have counts for
3 papers
Trajectory-based actuator identification via differentiable simulation
Vyacheslav Kovalev, Ekaterina Chaikovskaia, Egor Davydenko +1
Accurate actuation models are critical for bridging the gap between simulation and real robot behavior, yet obtaining high-fidelity actuator dynamics typically requires dedicated t…
Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification
Vyacheslav Kovalev, Ekaterina Chaikovskaia, Egor Davydenko +1
Accurate system identification is crucial for reducing trajectory drift in bipedal locomotion, particularly in reinforcement learning and model-based control. In this paper, we pre…
Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion
Vyacheslav Kovalev, Anna Shkromada, Henni Ouerdane +1
Stable gait generation is a crucial problem for legged robot locomotion as this impacts other critical performance factors such as, e.g. mobility over an uneven terrain and power c…