activity
20192021
most citedToward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

32 citations · 32 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Communication-free Cohesive Flexible-Object Transport using Decentralized Robot Networks

Yoshua Gombo, Anuj Tiwari, Santosh Devasia

Decentralized network theories focus on achieving consensus and in speeding up the rate of convergence to consensus. However, network cohesion (i.e., maintaining consensus) during…

eess.SY2020

MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression

Leon Yan, Nathan Banka, Parker Owan +3

This work improves the positioning precision of lightweight robots with series elastic actuators (SEAs). Lightweight SEA robots, along with low-impedance control, can maneuver with…

eess.SY2020

Cohesive Networks using Delayed Self Reinforcement

Santosh Devasia

How a network gets to the goal (a consensus value) can be as important as reaching the consensus value. While prior methods focus on rapidly getting to a new consensus value, maint…

cs.RO2019

An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures

Veniamin Tereshchuk, John Stewart, Nikolay Bykov +3

Efficient utilization of cooperating robots in the assembly of aircraft structures relies on balancing the workload of the robots and ensuring collision-free scheduling. We cast th…

cs.RO201932 cited

Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

Behnoosh Parsa, Ekta U. Samani, Rose Hendrix +4

Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics an…