57 citations
- Robotics Research (United States)US5 papers
- Carnegie Mellon UniversityUS4 papers
- Center for Strategic ResearchRU4 papers
- George Mason UniversityUS4 papers
- Machine ScienceUS4 papers
- Robotic Technology (United States)US4 papers
- United States Department of the ArmyUS4 papers
- Optim Design (United States)US3 papers
- Columbia UniversityUS2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Stanford UniversityUS2 papers
- Bernstein Center for Computational Neuroscience BerlinDE1 paper
19 papers
HyperSpace: A Generalized Framework for Spatial Encoding in Hyperdimensional Representations
Shay Snyder, Andrew Capodieci, David Gorsich +1
Vector Symbolic Architectures (VSAs) provide a well-defined algebraic framework for compositional representations in hyperdimensional spaces. We introduce HyperSpace, an open-sourc…
SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories
Shay Snyder, Andrew Capodieci, David Gorsich +1
Sequential associative memories (SAMs) are difficult to build and maintain in real-world streaming environments, where observations arrive incrementally over time, have imbalanced…
Force-Displacement Profiling for Robot-Assisted Deployment of a Left Atrial Appendage Occluder Using FBG-EM Distal Sensing
Giovanni Battista Regazzo, Wim-Alexander Beckers, Xuan Thao Ha +3
Atrial fibrillation (AF) increases the risk of thromboembolic events due to impaired function of the left atrial appendage (LAA). Left atrial appendage closure (LAAC) is a minimall…
Functionally graded keratin facilitates tactile sensing in elephant whiskers
Andrew K. Schulz, Lena V. Kaufmann, Lawrence T. Smith +6
Keratin composites enable animals to hike with hooves, fly with feathers, and sense with skin. These distinct functions arise from variations in the underlying properties and micro…
Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning
Shay Snyder, Ryan Shea, Andrew Capodieci +2
Real-time autonomous systems utilize multi-layer computational frameworks to perform critical tasks such as perception, goal finding, and path planning. Traditional methods impleme…
Joint-perturbation simultaneous pseudo-gradient
Carlos Martin, Tuomas Sandholm
We study the problem of computing an approximate Nash equilibrium of a game whose strategy space is continuous without access to gradients of the utility function. Such games arise…