9 citations · 22 across the 7 of their papers we have counts for
7 papers
Imitation Learning from Human Motion Alone Does Not Guarantee Biomechanically Plausible Gait Kinetics
Xinyi Liu, Jangwhan Ahn, Edgar Lobaton +2
Motion imitation learning (IL) is increasingly used in robotics and human gait modeling, yet its ability to recover biomechanically consistent joint moments without explicit kineti…
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications
Turner Richmond, Namita Lokare, Qian Ge +1
With the rise of the Internet of Things, strategies for effectively processing big data are essential for discovering meaningul insights. The time series datasets produced by group…
Evaluation of Embedded Platforms for Lower Limb Prosthesis with Visual Sensing Capabilities
Rafael L. da Silva, Nathan Starliper, Boxuan Zhong +2
Lower limb prosthesis can benefit from embedded systems capable of applying computer vision techniques to enhance autonomous control and context awareness for intelligent decision…
Building an Integrated Mobile Robotic System for Real-Time Applications in Construction
Khashayar Asadi, Hariharan Ramshankar, Harish Pullagurla +7
One of the major challenges of a real-time autonomous robotic system for construction monitoring is to simultaneously localize, map, and navigate over the lifetime of the robot, wi…
Geometric Learning and Topological Inference with Biobotic Networks: Convergence Analysis
Alireza Dirafzoon, Alper Bozkurt, Edgar Lobaton
In this study, we present and analyze a framework for geometric and topological estimation for mapping of unknown environments. We consider agents mimicking motion behaviors of cyb…
Dynamic Topological Mapping with Biobotic Swarms
Alireza Dirafzoon, Alper Bozkurt, Edgar Lobaton
In this paper, we present an approach for dynamic exploration and mapping of unknown environments using a swarm of biobotic sensing agents, with a stochastic natural motion model a…
Robust Topological Feature Extraction for Mapping of Environments using Bio-Inspired Sensor Networks
Alireza Dirafzoon, Edgar Lobaton
In this paper, we exploit minimal sensing information gathered from biologically inspired sensor networks to perform exploration and mapping in an unknown environment. A probabilis…