:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Singh, Nishesh, Ramesh, Sidharth, Shankar, Abhishek, Duttagupta, Jyotishka, D'Souza, Leander Stephen, Singh, Sanjay
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence I.2.9
Online Access:	https://arxiv.org/abs/2406.18899
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving
by: Gao, Xinwei, et al.
Published: (2025)

Barrier Functions Inspired Reward Shaping for Reinforcement Learning
by: Nilaksh, Nilaksh, et al.
Published: (2024)

Improvement and Empirical Testing of a Novel Autonomous Microplastics-Collecting Semisubmersible
by: Isahaku, Ziddane
Published: (2024)

Think, Act, Learn: A Framework for Autonomous Robotic Agents using Closed-Loop Large Language Models
by: Menon, Anjali R., et al.
Published: (2025)

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring
by: Laux, Melvin, et al.
Published: (2026)

CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning
by: Hu, Pan
Published: (2025)

Lie Theory Based Optimization for Unified State Planning of Mobile Manipulators
by: Smith, William, et al.
Published: (2024)

Active Inference for an Intelligent Agent in Autonomous Reconnaissance Missions
by: Schubert, Johan, et al.
Published: (2025)

Contact-based Grasp Control and Inverse Kinematics for a Five-fingered Robotic Hand
by: Umeike, Robinson
Published: (2025)

MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
by: Li, Xidong, et al.
Published: (2026)

${\tt KRAFT}$: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
by: Sivaramakrishnan, Aravind, et al.
Published: (2024)

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
by: Yao, Huaiyuan, et al.
Published: (2025)

Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
by: Chrosniak, John, et al.
Published: (2023)

Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators
by: Güitta-López, Lucía, et al.
Published: (2026)

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
by: Schester, Larry, et al.
Published: (2024)

Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)

Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning
by: Qiyuan, Liu
Published: (2024)

CropNav: a Framework for Autonomous Navigation in Real Farms
by: Gasparino, Mateus Valverde, et al.
Published: (2024)

World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy
by: Liu, Xiaokang, et al.
Published: (2026)

Learning from Watching: Scalable Extraction of Manipulation Trajectories from Human Videos
by: Hu, X., et al.
Published: (2025)

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
by: Peng, Zhenghao, et al.
Published: (2024)

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
by: Agia, Christopher, et al.
Published: (2024)

Closed-Loop Neural Activation Control in Vision-Language-Action Models
by: Babu, Abhijith, et al.
Published: (2026)

AUTONAV: A Toolfor Autonomous Navigation of Robots
by: Sarwar, Mir Md Sajid, et al.
Published: (2025)

Verification and Validation of a Vision-Based Landing System for Autonomous VTOL Air Taxis
by: Bansal, Ayoosh, et al.
Published: (2024)

Federated Multi-Agent Mapping for Planetary Exploration
by: Szatmari, Tiberiu-Ioan, et al.
Published: (2024)

HS-SLAM: A Fast and Hybrid Strategy-Based SLAM Approach for Low-Speed Autonomous Driving
by: Kang, Bingxiang, et al.
Published: (2025)

Robotic Arm Manipulation with Inverse Reinforcement Learning & TD-MPC
by: Hassan, Md Shoyib, et al.
Published: (2024)

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)

Modeling and Control of a Novel Variable Stiffness Three DoFs Wrist
by: Milazzo, Giuseppe, et al.
Published: (2023)

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching
by: Qiu, Xiaotian, et al.
Published: (2026)

Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network
by: Mitra, Sayan, et al.
Published: (2026)

Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments
by: Wisniewski, Mariusz, et al.
Published: (2024)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)

Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation
by: Grigioni, Carlo, et al.
Published: (2024)

CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
by: Hong, Hong, et al.
Published: (2026)

Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention
by: Calzolari, Gabriele, et al.
Published: (2025)

Have We Mastered Scale in Deep Monocular Visual SLAM? The ScaleMaster Dataset and Benchmark
by: Ju, Hyoseok, et al.
Published: (2026)

SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks
by: Stranghöner, Jannick, et al.
Published: (2025)

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search
by: Calzolari, Gabriele, et al.
Published: (2024)