b'Quan Nguyen'

research

∙ 09/19/2023

Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions

Hybrid dynamical systems with non-linear dynamics are one of the most ge...

0 Javier Borquez, et al. ∙

research

∙ 08/30/2023

Segmenting mechanically heterogeneous domains via unsupervised learning

From biological organs to soft robotics, highly deformable materials are...

0 Quan Nguyen, et al. ∙

research

∙ 07/08/2023

Adaptive Force-Based Control of Dynamic Legged Locomotion over Uneven Terrain

Agile-legged robots have proven to be highly effective in navigating and...

0 Mohsen Sombolestan, et al. ∙

research

∙ 05/01/2023

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity

Modern machine learning increasingly supports paradigms that are multi-i...

0 Josh Gardner, et al. ∙

research

∙ 03/12/2023

Hierarchical Adaptive Control for Collaborative Manipulation of a Rigid Object by Quadrupedal Robots

Despite the potential benefits of collaborative robots, effective manipu...

0 Mohsen Sombolestan, et al. ∙

research

∙ 03/10/2023

Learning Multimodal Bipedal Locomotion and Implicit Transitions: A Versatile Policy Approach

In this paper, we propose a novel framework for synthesizing a single mu...

0 Lokesh Krishna, et al. ∙

research

∙ 03/09/2023

Kinodynamics-based Pose Optimization for Humanoid Loco-manipulation

This paper presents a novel approach for controlling humanoid robots pus...

0 Junheng Li, et al. ∙

research

∙ 01/11/2023

Adversarial Online Multi-Task Reinforcement Learning

We consider the adversarial online multi-task reinforcement learning set...

7 Quan Nguyen, et al. ∙

research

∙ 11/20/2022

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training

We introduce FedDCT, a novel distributed learning paradigm that enables ...

0 Quan Nguyen, et al. ∙

research

∙ 10/21/2022

Local Bayesian optimization via maximizing probability of descent

Local optimization presents a promising approach to expensive, high-dime...

0 Quan Nguyen, et al. ∙

research

∙ 10/07/2022

Contact Optimization for Non-Prehensile Loco-Manipulation via Hierarchical Model Predictive Control

Recent studies on quadruped robots have focused on either locomotion or ...

0 Alberto Rigo, et al. ∙

research

∙ 09/27/2022

Hierarchical Adaptive Loco-manipulation Control for Quadruped Robots

Legged robots have shown remarkable advantages in navigating uneven terr...

0 Mohsen Sombolestan, et al. ∙

research

∙ 09/18/2022

Dynamic Walking of Bipedal Robots on Uneven Stepping Stones via Adaptive-frequency MPC

This paper presents a novel Adaptive-frequency MPC framework for bipedal...

0 Junheng Li, et al. ∙

research

∙ 09/18/2022

Multi-contact MPC for Dynamic Loco-manipulation on Humanoid Robots

This paper presents a novel method to control humanoid robot dynamic loc...

0 Junheng Li, et al. ∙

research

∙ 04/03/2022

Continuous Jumping for Legged Robots on Stepping Stones via Trajectory Optimization and Model Predictive Control

Performing highly agile dynamic motions, such as jumping or running, ove...

0 Chuong Nguyen, et al. ∙

research

∙ 02/08/2022

Nonmyopic Multiclass Active Search for Diverse Discovery

Active search is a setting in adaptive experimental design where we aim ...

0 Quan Nguyen, et al. ∙

research

∙ 10/13/2021

Contact-timing and Trajectory Optimization for 3D Jumping on Quadruped Robots

Performing highly agile acrobatic motions with a long flight phase requi...

0 Chuong Nguyen, et al. ∙

research

∙ 09/21/2021

Balancing Control and Pose Optimization for Wheel-legged Robots Navigating Uneven Terrains

In this paper, we propose a novel approach on controlling wheel-legged q...

0 Junheng Li, et al. ∙

research

∙ 08/04/2021

Lachesis: Scalable Asynchronous BFT on DAG Streams

This paper consolidates the core technologies and key concepts of our no...

0 Quan Nguyen, et al. ∙

research

∙ 06/11/2021

Nonmyopic Multifidelity Active Search

Active search is a learning paradigm where we seek to identify as many m...

0 Quan Nguyen, et al. ∙

research

∙ 03/31/2021

Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots

In this paper, we propose a novel framework on force-and-moment-based Mo...

0 Junheng Li, et al. ∙

research

∙ 03/11/2021

Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning

Deep reinforcement learning has emerged as a popular and powerful way to...

0 Guillaume Bellegarda, et al. ∙

research

∙ 11/14/2020

Locomotion and Control of a Friction-Driven Tripedal Robot

This letter considers control of a radially symmetric tripedal friction-...

0 Mark Hermes, et al. ∙

research

∙ 11/13/2020

Robust Quadruped Jumping via Deep Reinforcement Learning

In this paper we consider a general task of jumping varying distances an...

0 Guillaume Bellegarda, et al. ∙

research

∙ 11/13/2020

Safe and Robust Motion Planning for Dynamic Robotics via Control Barrier Functions

Control Barrier Functions (CBF) are widely used to enforce the safety-cr...

0 Aniketh Manjunath, et al. ∙

research

∙ 11/12/2020

Adaptive Force-based Control for Legged Robots

In this paper, we present a novel methodology to introduce adaptive cont...

0 Mohsen Sombolestan, et al. ∙

research

∙ 10/16/2020

Active Visual Analytics: Assisted Data Discovery in Interactive Visualizations via Active Search

We propose the Active Visual Analytics technique (ActiveVA), an augmenta...

0 Shayan Monadjemi, et al. ∙

research

∙ 05/14/2020

Optimal Robust Safety-Critical Control for Dynamic Robotics

We present a novel method of optimal robust control through quadratic pr...

0 Quan Nguyen, et al. ∙

research

∙ 04/09/2020

OV: Validity-based Optimistic Smart Contracts

Smart contract (SC) platforms form blocks of transactions into a chain a...

0 Quan Nguyen, et al. ∙

research

∙ 02/08/2020

On Probabilistic Byzantine Fault Tolerance

Byzantine fault tolerance (BFT) has been extensively studied in distribu...

0 Quan Nguyen, et al. ∙

research

∙ 11/12/2019

Fast Stochastic Peer Selection in Proof-of-Stake Protocols

The problem of peer selection, which randomly selects a peer from a set,...

0 Quan Nguyen, et al. ∙

research

∙ 08/29/2019

StairDag: Cross-DAG Validation For Scalable BFT Consensus

This paper introduces a new consensus protocol, so-called , for fast con...

0 Quan Nguyen, et al. ∙

research

∙ 07/05/2019

StakeDag: Stake-based Consensus For Scalable Trustless Systems

Trustless systems, such as those blockchain enpowered, provide trust in ...

0 Quan Nguyen, et al. ∙

research

∙ 05/13/2019

ONLAY: Online Layering for scalable asynchronous BFT system

This paper presents a new framework, namely , for scalable asynchronous ...

0 Quan Nguyen, et al. ∙

research

∙ 10/22/2018

Fantom: A scalable framework for asynchronous distributed systems

We describe Fantom, a framework for asynchronous distributed systems. Fa...

0 Sang-Min Choi, et al. ∙

research

∙ 10/04/2018

OPERA: Reasoning about continuous common knowledge in asynchronous distributed systems

This paper introduces a new family of consensus protocols, namely Laches...

0 Sang-Min Choi, et al. ∙

research

∙ 12/04/2017

Deep Visual Perception for Dynamic Walking on Discrete Terrain

Dynamic bipedal walking on discrete terrain, like stepping stones, is a ...

0 Avinash Siravuru, et al. ∙

research

∙ 08/29/2017

Drawing Big Graphs using Spectral Sparsification

Spectral sparsification is a general technique developed by Spielman et ...

0 Peter Eades, et al. ∙

research

∙ 02/20/2017

The Dialog State Tracking Challenge with Bayesian Approach

Generative model has been one of the most common approaches for solving ...

0 Quan Nguyen, et al. ∙

Quan Nguyen

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