autonomousrobot.dev

#Autonomous Robot Development Meta

#Robot Operating System | ROS | Open-source platform | Software tools and libraries to facilitate development of robotic applications | Drivers | Algorithms

#ROS 2 | The second version of the Robot Operating System | Communication, compatibility with other operating systems | Authentication and encryption mechanisms | Works natively on Linux, Windows, and macOS | Fast RTPS based on DDS (Data Distribution Service) | Programming languages: C++, Python, Rust

#Benchmarking

#ROS Control Framework

#Multi-query planners

#Single-query planners

#Near-optimal planners

#Trajectory Optimization

#Search Based Planning Library

#Stochastic Trajectory Optimization

#Covariant Hamiltonian Optimization

#Dynamic Motion Primitives

#Thunder and Lightning algorithms

#Planning Scenes

#Collision aware planning

#Virtual maps of the environment

#Collision checking

#Flexible Collision Library

#Point Cloud Library

#6 degrees of freedom

#7 degrees of freedom

#Built Robotics

#Kryon Systems

#Anybotics | Autonomous inspection robotics

#Inverse kinematics

#Bluepoint Robotics

#Inverse Jacobian method

#Gradient projection method

#Mantis Robotics

#Legged Robots

#Machine Learning Engine

#Heuristic method

#Robot configuration

#Overlapping (shared) joints

#Stack of tasks

#Particle swarm optimization

#Position controller

#Velocity controller

#Force controller

#Libraries for generating target grasp

#Neural network for converting camera data to grasp poses

#Pre-Grasp, Grasp, Post-Grasp evaluation with heuristic pruning

#Manipulation pipeline development

#3D Perception

#Bounding convex decompositions of meshes

#LIDAR

#Object detection

#Image segmentation

#Deep neural network

#Simultaneous Localization and Mapping

#Point cloud segmentation

#Point cloud alignment

#Probabilistic model for visual perception

#Visual-inertial odometry

#Intrinsic camera calibration

#Extrinsic camera calibration

#Visual servoing tracking of objects for manipulation

#ROS Navigation stack

#3D headsets

#Solidworks​ ​assembly​ ​files

#CAD​ ​files

#​URDF​ ​specifications

#Actuator

#ROS​ ​Control

#Geometric fabrics

#1550nm LiDAR | Advantages: safety, range, and performance in various environmental conditions | Enhanced Eye Safety: absorbed more efficiently by cornea and lens of eye, preventing light from reaching sensitive retina | Longer Detection Range | Improved Performance in Adverse Weather Conditions such as as fog, rain, or dust | Reduced Interference from Sunlight and Other Light Sources | More expensive due to complexity and lower production volumes of their components

#SLAM | Simultaneous Localization and Mapping

#Vector database

#Multi-task robot agent

#Robot fleet

#Resistive RAM (ReRAM) technology | onsemi Treo platform to provide embedded non-volatile memory | ReRAM integration into Bipolar CMOS DMOS (BCD) process | Potential alternative to flash memory | Demand for faster, more efficient, and scalable memory solutions increasing | Lower power consumption | Less vulnerable to common hacking tactics | ReRAM can be integrated easily into chip designs without interfering with power analog components

#A-list celebrity home protector | Burglaries targeting high-end items | Burglary report on Lime Orchard Road | Burglar had smashed glass door of residence | Ransacked home and fled | Couple were not home at the time | Unknown whether any items were taken | Lime Orchard Road is within Hidden Valley gated community of Los Angeles in Beverly Hills | Penelope Cruz, Cameron Diaz, Jennifer Lawrence, Adele and Katy Perry have purchased homes there, in addition to Kidman and Urban | Kidman and Urban bought their home for $4.7 million in 2008 | 4,100-square-foot, five-bedroom home built in 1965 and sits on 1¼-acre lot | Property large windows have views of the canyons | Theirs is one of several celebrity properties burglarized in Los Angeles and across country recently | Connected to South American organized-theft rings

#Professional athlete home protector | South American crime rings | Targeting wealthy Southern California neighborhoods for sophisticated home burglaries | Behind burglaries at homes of professional athletes and celebrities | Theft groups conduct extensive research before plotting burglaries | Monitoring target whereabouts and weekly routines via social media | Tracking travel and schedules | Conducting physical surveillance at homes | Attacks staged while targets and their families are away | Robbers aware of where valuables are stored in homes prior to staging break-ins | Burglaries conducted in short amount of time | Bypass alarm systems | Use Wi-Fi jammers to block Wi-Fi connections | Disable devices | Cover security cameras | Obfuscate identities

#Path planning

#Motion planning

#Dexterous robot | Manipulate objects with precision, adaptability, and efficiency | Dexterity involves fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity is crucial in: manufacturing, healthcare, logistics | Dexterity enables automation in tasks that traditionally require human-like precision

#Agentic AI | Artificial intelligence systems with a degree of autonomy, enabling them to make decisions, take actions, and learn from experiences to achieve specific goals, often with minimal human intervention | Agentic AI systems are designed to operate independently, unlike traditional AI models that rely on predefined instructions or prompts | Reinforcement learning (RL) | Deep neural network (DNN) | Multi-agent system (MAS) | Goal-setting algorithm | Adaptive learning algorithm | Agentic agents focus on autonomy and real-time decision-making in complex scenarios | Ability to determine intent and outcome of processes | Planning and adapting to changes | Ability to self-refine and update instructions without outside intervention | Full autonomy requires creativity and ability to anticipate changing needs before they occur proactively | Agentic AI benefits Industry 4.0 facilities monitoring machinery in real time, predicting failures, scheduling maintenance, reducing downtime, and optimizing asset availability, enabling continuous process optimization, minimizing waste, and enhancing operational efficiency

#Field Foundation Model (FFMs) | Physical world model using sensor data as an input | Field AI robots can understand how to move in world, rather than just where to move | Very heavy probabilistic modeling | World modeling becomes by-product of Field AI.robots operating in the world rather than prerequisite for that operation | Aim is to just deploy robot, with no training time needed | Autonomous robotic systems applucations | Field AI is software company making sensor payloads that integrate with their autonomy software | Autonomous humanoid Field AI can do | Focus on platforms that are more affordable | Integrating mobility with high-level planning, decision making, and mission execution | Potential to take advantage of relatively inexpensive robots is what is going to make the biggest difference toward Field AI commercial success