4 citations · 4 across the 7 of their papers we have counts for
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Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking
Pratik Kunapuli, Jake Welde, Dinesh Jayaraman +1
Learning-based control approaches like reinforcement learning (RL) have recently produced a slew of impressive results for tasks like quadrotor trajectory tracking and drone racing…
Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems
Jake Welde, Nishanth Rao, Pratik Kunapuli +2
Tracking controllers enable robotic systems to accurately follow planned reference trajectories. In particular, reinforcement learning (RL) has shown promise in the synthesis of co…
Towards Automatic Identification of Globally Valid Geometric Flat Outputs via Numerical Optimization
Jake Welde, Vijay Kumar
Differential flatness enables efficient planning and control for underactuated robotic systems, but we lack a systematic and practical means of identifying a flat output (or determ…
The Role of Symmetry in Constructing Geometric Flat Outputs for Free-Flying Robotic Systems
Jake Welde, Matthew D. Kvalheim, Vijay Kumar
Mechanical systems naturally evolve on principal bundles describing their inherent symmetries. The ensuing factorization of the configuration manifold into a symmetry group and an…