Nguyen Van Thanh

I'm AI Engineer. I'm interested in AI, Robotics, Physics...

Interested papers

30 May 2022 » AI, Robotic, Papers

Collection of interesting papers

PaperTypeBlogVideoCodePotential Application
Learning Acrobatics by Watching YouTubeRobotic, Reinforcement LearningLearning Acrobatics by Watching YouTubeUnavailableUnavailableBuild Robot imitate people
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial ManufacturingApplication, Industrial ApplicationUnavailableUnavailableUnavailableIndustrial Application
Learning to Untangle Genome Assembly with Graph Convolutional NetworksGNN, GenomeUnavailableUnavailableGNNome-assemblyIndustrial Application
EfficientFormer: Vision Transformers at MobileNet SpeedTransformer, InferenceUnavailableUnavailableUnavailableOptimize for Inference, Better Backbone
Vision GNN: An Image is Worth Graph of NodesTransformer, GNNUnavailableUnavailableCV-BackbonesBetter Backbone
Use the Force Luke! Learning to Predict Physical Forces by Simulating EffectsRobotic, PhysicUnavailableUnavailableCV-BackbonesBetter Backbone
AutoBag: Learning to Open Plastic Bags and Insert ObjectRobotic, PhysicUnavailableUnavailableUnavailableBuild Robot for home or in retail
Aligning Step-by-Step Instructional Diagrams to Video DemonstrationsAction RecognitionUnavailableUnavailableUnavailableBuild Robot that can learn from instruction manual

To be update

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Text to image Diffuction are zero shot classifiers

  • Equivariant Transporter Network
  • RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
  • Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
  • The Surprising Effectiveness of Representation Learning for Visual Imitation
  • Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
  • A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
  • iSDF: Real-Time Neural Signed Distance Fields for Robot Perception
  • POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes
  • DICP: Doppler Iterative Closest Point Algorithm
  • Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects
  • FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects
  • ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
  • DextAIRity: Deformable Manipulation Can be a Breeze
  • MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
  • Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on YouTube
  • Underwater Robot-To-Human Communication Via Motion: Implementation and Full-Loop Human Interface Evaluation
  • Gaze Complements Control Input for Goal Prediction During Assisted Teleoperation
  • Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions
  • Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning
  • Rapid Locomotion via Reinforcement Learning
  • Human-to-Robot Imitation in the Wild
  • Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
  • Embodied Multi-Agent Task Planning from Ambiguous Instruction
  • Data Augmentation for Manipulation
  • Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
  • A Local Optimization Framework for Multi-Objective Ergodic Search
  • Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings
  • Multi-Robot Adversarial Resilience using Control Barrier Functions
  • Autonomously Untangling Long Cables
  • PROX-QP: Yet another Quadratic Programming Solver for Robotics and Beyond
  • SymForce: Symbolic Computation and Code Generation for Robotics
  • Failure Prediction with Statistical Guarantees for Vision-Based Robot Control
  • Factory: Fast Contact for Robotic Assembly
  • Collision Detection Accelerated: An Optimization Perspective
  • Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning
  • Certifiable Robot Design Optimization using Differentiable Programming
  • Collocation Methods for Second Order Systems
  • You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
  • DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation
  • Parameterized Differential Dynamic Programming
  • AK: Attentive Kernel for Information Gathering
  • SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robot
  • TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators
  • Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization
  • FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending
  • CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
  • KernelGPA: A Deformable SLAM Back-end
  • CURL: Continuous, Ultra-compact Representation for LiDAR
  • SEER: Unsupervised and sample-efficient environment specialization of image descriptors
  • Sub-1.5 Time-Optimal Multi-Robot Path Planning on Grids in Polynomial Time
  • Occupancy-SLAM: Simultaneously Optimizing Robot Poses and Continuous Occupancy Map
  • Conflict-Based Steiner Search for Multi-Agent Combinatorial Path Finding
  • Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance
  • Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization
  • Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer
  • End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
  • FuseBot: RF-Visual Mechanical Search
  • Learning Interpretable, High-Performing Policies for Autonomous Driving
  • Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation
  • Meta Value Learning for Fast Policy-Centric Optimal Motion Planning
  • Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
  • Invariance Through Latent Alignment
  • Correcting Robot Plans with Natural Language Feedback
  • Action Conditioned Tactile Prediction: case study on slip prediction
  • Understanding Dynamic Tactile Sensing for Liquid Property Estimation
  • Adaptive Manipulation of Conductive, Nonmagnetic Objects via a Continuous Model of Magnetically Induced Force and Torque
  • Distributed Optimisation and Deconstruction of Bridges by Self-Assembling Robots
  • Learning Mixed Strategies in Trajectory Games
  • Decentralized Safe Multi-Agent Stochastic Optimal Control using Deep FBSDEs and ADMM
  • PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector