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Found 6 papers, 0 papers with code
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation
While certain goals can be achieved by picking and placing the objects of interest directly, object reorientation is needed for precise placement in most of the tasks.
Learning Representations for Pixel-based Control: What Matters and Why?
A wide range of methods have been proposed to enable efficient learning, leading to sample complexities similar to those in the full state setting.
Learning Control Policies for Imitating Human Gaits
While skeletal models are driven with motor actuation, musculoskeletal models perform through muscle-tendon actuation.
Learning Linear Policies for Robust Bipedal Locomotion on Terrains with Varying Slopes
In this paper, with a view toward deployment of light-weight control frameworks for bipedal walking robots, we realize end-foot trajectories that are shaped by a single linear feedback policy.
Cycloidal Trajectory Realization on Staircase based on Neural Network Temporal Quantized Lagrange Dynamics (NNTQLD) with Ant Colony Optimization for a 9-Link Bipedal Robot
For the task of climbing stairs by a 9-link biped model, a cycloid trajectory for swing phase is proposed in such a way that the cycloid variables depend on the staircase dimensions.
Planning Brachistochrone Hip Trajectory for a Toe-Foot Bipedal Robot going Downstairs
Here, an adaptive trajectory planning algorithm is developed so that biped robots of varying link lengths, masses can climb down on varying staircase dimensions.
