activity
20132021
most citedReinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly

20 citations · 33 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2021

Force-Sensing Tensegrity for Investigating Physical Human-Robot Interaction in Compliant Robotic Systems

Andrew R. Barkan, Akhil Padmanabha, Sala R. Tiemann +4

Advancements in the domain of physical human-robot interaction (pHRI) have tremendously improved the ability of humans and robots to communicate, collaborate, and coexist. In parti…

cs.RO201920 cited

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly

Jianlan Luo, Eugen Solowjow, Chengtao Wen +4

Precise robotic manipulation skills are desirable in many industrial settings, reinforcement learning (RL) methods hold the promise of acquiring these skills autonomously. In this…

cs.RO20173 cited

Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots

Lee-Huang Chen, Brian Cera, Edward L. Zhu +8

This paper presents a new teleoperated spherical tensegrity robot capable of performing locomotion on steep inclined surfaces. With a novel control scheme centered around the simul…

cs.AI2013

Stochastic Sensitivity Analysis Using Fuzzy Influence Diagrams

Pramod Jain, Alice M. Agogino

The practice of stochastic sensitivity analysis described in the decision analysis literature is a testimonial to the need for considering deviations from precise point estimates o…

cs.AI20131 cited

Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information

Sampath Srinivas, Stuart Russell, Alice M. Agogino

An algorithm for automated construction of a sparse Bayesian network given an unstructured probabilistic model and causal domain information from an expert has been developed and i…

cs.AI2013

Management of Uncertainty in the Multi-Level Monitoring and Diagnosis of the Time of Flight Scintillation Array

Robert K. Paasch, Alice M. Agogino

We present a general architecture for the monitoring and diagnosis of large scale sensor-based systems with real time diagnostic constraints. This architecture is multileveled, com…