activity
20202022
most citedThe Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations

12 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2022

Learning over time using a neuromorphic adaptive control algorithm for robotic arms

Lazar Supic, Terrence C. Stewart

In this paper, we explore the ability of a robot arm to learn the underlying operation space defined by the positions (x, y, z) that the arm's end-effector can reach, including dis…

cs.CV2022

Dictionary Learning with Accumulator Neurons

Gavin Parpart, Carlos Gonzalez, Terrence C. Stewart +6

The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time exec…

cs.NE2021

A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards

Emmanouil Angelidis, Emanuel Buchholz, Jonathan Patrick Arreguit O'Neil +5

Central Pattern Generators (CPGs) models have been long used to investigate both the neural mechanisms that underlie animal locomotion as well as a tool for robotic research. In th…

cs.CV202012 cited

The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations

Florian Mirus, Terrence C. Stewart, Jorg Conradt

Predicting future behavior of other traffic participants is an essential task that needs to be solved by automated vehicles and human drivers alike to achieve safe and situationawa…

cs.AI20204 cited

Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information

Florian Mirus, Terrence C. Stewart, Jorg Conradt

Vector Symbolic Architectures belong to a family of related cognitive modeling approaches that encode symbols and structures in high-dimensional vectors. Similar to human subjects,…

cs.RO2020

Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller

Guillermo A. Castillo, Bowen Weng, Terrence C. Stewart +2

This paper presents a neural-network based adaptive feedback control structure to regulate the velocity of 3D bipedal robots under dynamics uncertainties. Existing Hybrid Zero Dyna…