Musculoskeletal simulations are used in many different applications, ranging from the
design of wearable robots that interact with humans to the analysis of patients with impaired …

Abstract Machine learning models are famously vulnerable to adversarial attacks: small ad-
hoc perturbations of the data that can catastrophically alter the model predictions. While a …

Background System identification can be used to obtain a model of the human postural
control system from experimental data in which subjects are mechanically perturbed while …

Applications of biomechanical predictive simulation are wide ranging, with the technique
used to provide insights into movement disorders, sports performance, and injury …

The use of motion primitives to plan trajectories has received significant attention in the
robotics literature. This work considers the application of motion primitives to path planning …

Motion primitive planning under parametric uncertainty may be modeled as a chance-
constrained Markov Decision Process (CCMDP). Single-query solutions to CCMDPs can be …

Conceptual aerospace mission design has typically been performed in a computationally
intensive and iterative manner. The introduction of modern computing has resulted in the …

Tail rotor failure is the main reason for a variety of helicopter accidents throughout aviation
history. It is troublesome to control and navigate the helicopter to a predefined landing point …

From getting to work to strolling through the park, our mobility is an essential part of life.
Losing one's mobility can be devastating. Scientists are on the verge of enhancing mobility …

This paper considers a trajectory planning problem for a robot navigating complex terrains,
which arises in applications ranging from autonomous mining vehicles to planetary rovers …