20 citations · 33 across the 10 of their papers we have counts for
11 papers
Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information
Alice Agogino, Hae Young Jang, Vivek Rao +7
Although the Industrial Internet of Things has increased the number of sensors permanently installed in industrial plants, there will be gaps in coverage due to broken sensors or s…
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…
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…
Trajectory Tracking Control of a Flexible Spine Robot, With and Without a Reference Input
Andrew P. Sabelhaus, Shirley Huajing Zhao, Mallory C. Daly +6
The Underactuated Lightweight Tensegrity Robotic Assistive Spine (ULTRA Spine) project is an ongoing effort to develop a flexible, actuated backbone for quadruped robots. In this w…
Inverse Statics Optimization for Compound Tensegrity Robots
Andrew P. Sabelhaus, Albert H. Li, Kimberly A. Sover +4
Robots built from cable-driven tensegrity (`tension-integrity') structures have many of the advantages of soft robots, such as flexibility and robustness, while still obeying simpl…
Model-Predictive Control with Inverse Statics Optimization for Tensegrity Spine Robots
Andrew P. Sabelhaus, Huajing Zhao, Edward L. Zhu +2
Robots with flexible spines based on tensegrity structures have potential advantages over traditional designs with rigid torsos. However, these robots can be difficult to control d…
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…
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…
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…
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…
Inference Using Message Propagation and Topology Transformation in Vector Gaussian Continuous Networks
Satnam Alag, Alice M. Agogino
We extend Gaussian networks - directed acyclic graphs that encode probabilistic relationships between variables - to its vector form. Vector Gaussian continuous networks consist of…