Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Towards Reactive and Robust Manipulation Tasks using Behavior Trees
Behavior Trees in Robotics and AI: An Introduction
Grasping for a Purpose: Using Task Goals for Efficient Manipulation Planning
Deep Reinforcement Learning for Robotic Manipulation-The state of the art
A hierarchical approach to manipulation with diverse actions
Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
Reactive Planning for Assistive Robots
Nonprehensile Robotic Manipulation: Controllability and Planning
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Behavior-Based Control: Main Properties and Implications
Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution
Composable Deep Reinforcement Learning for Robotic Manipulation
Learning Dexterous Manipulation Policies from Experience and Imitation
Reactive high-level behavior synthesis for an Atlas humanoid robot
Synthesis of whole-body behaviors through hierarchical control of behavioral primitives
Guided Manipulation Planning at the DARPA Robotics Challenge Trials
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making
Architecture-driven self-adaptation and self-management in robotics systems
Learning Deep Policies for Physics-Based Manipulation in Clutter
Self-Motivated, Task-Independent Reinforcement Learning for Robots
On multi-arm manipulation planning
Teleo-Reactive Programs for Agent Control
Current state of virtual reality simulation in robotic surgery training: a review
Online Credit Card Fraud Detection: A Hybrid Framework with Big Data Technologies
Smart City Analytics: state of the art and future perspectives
5 . 2 third generation multimedia applications .