activity
20172023
most citedErgodic Exploration of Distributed Information

129 citations · 889 across the 54 of their papers we have counts for

collaborators
Showing 2017Show all

19 papers · 1 filter

math.OC2017★ 1 cited

On the Benefits of Surrogate Lagrangians in Optimal Control and Planning Algorithms

Gerardo De La Torre, Todd Murphey

This paper explores the relationship between numerical integrators and optimal control algorithms. Specifically, the performance of the differential dynamical programming (DDP) alg…

math.NA2017★ 1 cited

Surrogate Lagrangians for Variational Integrators: High Order Convergence with Low Order Schemes

Gerardo De La Torre, Todd Murphey

Variational integrators are momentum-preserving and symplectic numerical methods used to propagate the evolution of Hamiltonian systems. In this paper, we introduce a new class of…

cs.RO2017★ 18 cited

Dynamic Task Execution using Active Parameter Identification with the Baxter Research Robot

Andrew D. Wilson, Jarvis A. Schultz, Alex R. Ansari +1

This paper presents experimental results from real-time parameter estimation of a system model and subsequent trajectory optimization for a dynamic task using the Baxter Research R…

cs.RO2017★ 37 cited

Trajectory Synthesis for Fisher Information Maximization

Andrew D. Wilson, Jarvis A. Schultz, Todd D. Murphey

Estimation of model parameters in a dynamic system can be significantly improved with the choice of experimental trajectory. For general, nonlinear dynamic systems, finding globall…

cs.RO2017

Autonomous Visual Rendering using Physical Motion

Ahalya Prabhakar, Anastasia Mavrommati, Jarvis Schultz +1

This paper addresses the problem of enabling a robot to represent and recreate visual information through physical motion, focusing on drawing using pens, brushes, or other tools.…

math.OC2017★ 18 cited

Projection-Based Iterative Mode Scheduling for Switched Systems

Timothy Caldwell, Todd Murphey

This paper describes a method for scheduling the events of a switched system to achieve an optimal performance. The approach has guarantees on convergence and computational complex…