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05/21/2023
Towards Globally Consistent Stochastic Human Motion Prediction via Motion Diffusion
Stochastic human motion prediction aims to predict multiple possible upc...
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05/08/2023
Towards Accurate Human Motion Prediction via Iterative Refinement
Human motion prediction aims to forecast an upcoming pose sequence given...
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04/22/2023
Unmatched uncertainty mitigation through neural network supported model predictive control
This paper presents a deep learning based model predictive control (MPC)...
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02/27/2023
Deep Model Predictive Control
This paper presents a deep learning based model predictive control algor...
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01/05/2023
Reinforcement Learning-Based Air Traffic Deconfliction
Remain Well Clear, keeping the aircraft away from hazards by the appropr...
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12/07/2022
Dynamic Graph Node Classification via Time Augmentation
Node classification for graph-structured data aims to classify nodes who...
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08/25/2022
Multimedia Generative Script Learning for Task Planning
Goal-oriented generative script learning aims to generate subsequent ste...
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04/03/2022
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
Despite the rapid advancement of navigation algorithms, mobile robots of...
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03/22/2022
WayFAST: Traversability Predictive Navigation for Field Robots
We present a self-supervised approach for learning to predict traversabl...
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02/15/2022
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) is a promising framework for s...
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02/10/2022
Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment
For soft continuum arms, visual servoing is a popular control strategy t...
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08/04/2021
Stochastic Deep Model Reference Adaptive Control
In this paper, we present a Stochastic Deep Neural Network-based Model R...
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07/06/2021
Learned Visual Navigation for Under-Canopy Agricultural Robots
We describe a system for visually guided autonomous navigation of under-...
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06/28/2021
Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots
This paper presents a state-of-the-art LiDAR based autonomous navigation...
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06/05/2021
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems
As deep learning becomes more prevalent for prediction and control of re...
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05/21/2021
High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis
We report promising results for high-throughput on-field soybean pod cou...
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05/10/2021
Adaptive Policy Transfer in Reinforcement Learning
Efficient and robust policy transfer remains a key challenge for reinfor...
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03/22/2021
Multi-agent Aerial Monitoring of Moving Convoys using Elliptical Orbits
We propose a novel scheme for surveillance of a dynamic ground convoy mo...
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03/21/2021
High Precision Control of Tracked Field Robots in the Presence of Unknown Traction Coefficients
Accurate steering through crop rows that avoids crop damage is one of th...
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03/21/2021
Tracking error learning control for precise mobile robot path tracking in outdoor environment
This paper presents a Tracking-Error Learning Control (TELC) algorithm f...
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03/21/2021
High precision control and deep learning-based corn stand counting algorithms for agricultural robot
This paper presents high precision control and deep learning-based corn ...
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12/15/2020
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
To achieve high-levels of autonomy, modern robots require the ability to...
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11/04/2020
Asynchronous Deep Model Reference Adaptive Control
In this paper, we present Asynchronous implementation of Deep Neural Net...
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09/17/2020
Elastica: A compliant mechanics environment for soft robotic control
Soft robots are notoriously hard to control. This is partly due to the s...
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04/13/2020
Energy Shaping Control of a CyberOctopus Soft Arm
This paper entails application of the energy shaping methodology to cont...
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09/18/2019
Deep Model Reference Adaptive Control
We present a new neuroadaptive architecture: Deep Neural Network based M...
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06/28/2019
Learning to Cope with Adversarial Attacks
The security of Deep Reinforcement Learning (Deep RL) algorithms deploye...
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01/22/2018
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice
In this paper, we present a new approach to Transfer Learning (TL) in Re...
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12/11/2017
Robust Deep Reinforcement Learning with Adversarial Attacks
This paper proposes adversarial attacks for Reinforcement Learning (RL) ...
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08/23/2017