personalrobot.ai

#Personal Robot AI Meta

#Laser-based heart monitoring robot | Laser device detecting heartbeat, breathing rate, and muscle activity from up to meter away, without requiring any wires or contact

#Object localization

#Object tracking

#Visual servoing

#Spatially aware manipulation

#Hand-eye coordination

#Semantic scene understanding

#AI and machine learning

#3-D reconstruction

#Unstructured Robotics | Performing tasks not predetermined or predefined | Real-time perception

#Robotics Perception

#Human-assisted robotics

#Haptic technology

#Object recognition

#Machine learning

#Redundant degrees of freedom

#Avatar robot

#Remote avatar robot

#Physical movement

#Virtual movement

#Emotional movement

#GPT language

#Sensors tracking movement

#Face recognition

#Voice recognition

#Detecting emotions

#Detecting age

#Communicating common expressions like astonishment and surprise

#Communicating gestures like yawning and shrugging

#Artificial neural network

#Having ear for music

#Non Verbal Cue

#Machine Learning

#Gesture Control

#Surrounding Sensing

#Owner Learning

#Task Intelligence

#Health Monitoring

#Problem Detecting

#Death Management

#Humanoid robot

#Believable robotic character

#Dynamic robotic performance

#Actuated figure

#Untethered, high-velocity gymnastic action robustly and repeatably

#Stuntronics

#Socially intelligent machine

#Cognitive intelligence

#AI Interactions

#Human-like robot

#Inference Engine

#Conversational AI assistant

#Interactive co-pilot

#Token generation

#Models of muscle tissue

#Musculoskeletal health

#Cardiovascular health

#Action recognition model

#Neurological degeneration

#Neuromuscular junctions

#Synthetic data generation (SDG)

#Training

#Stimulation

#Teleradiology

#Autonomous mobility assistance

#Blind individuals

#Visually-impaired individuals

#Regain independence

#Geometric fabrics

#Trained policies

#Reforcement Learning (RL) | Does not rely on labeled data | Learning through trial and error using reward-punishment | Transferring simulation results to real robotic hardware remains challenge | Need to train policies that generate a variety of agile behavior on physical hardware to achieve novel, robust, and practical locomotion behavior | Robot capability to manipulate objects and fixtures, such as doors and levers, in conjunction with locomotion would significantly enhance its utility | Exploring full-body contact strategies | Exploring high-performance, whole-body locomotion and tasks requiring full-body contact strategies, such as dynamic running and full-body manipulation of heavy objects | Developing close coordination between arms and legs | Developing reinforcement learning to generate behavior during complex contact events without imposing strict requirements | Reinforcement learning algorithms for humanoid locomotion | Reinforcement learning algorithms for humanoid manipulation policies | Prototyping reinforcement learning algorithms | Pybullet | IssacSim | Mujoco | Training RL policies in simulation

#Context length

#Tokens/s speed

#AI infrastructure

#AI inference technology

#Digital Twin of Person

#Retrieval-Augmented Generation (RAG) | Enhancing large language models (LLMs) by integrating external knowledge sources | Improving accuracy and relevance of generated responses | Allows LLMs to retrieve pertinent information from databases or documents before generating answers | Reducing errors and hallucinations typical in traditional models

#SLAM | Simultaneous Localization and Mapping

#Body analysis

#Facial expression analysis

#Eye gaze control

#Face segmentation

#CRUD | Create, Read, Update, and Delete | Four fundamental operations for managing persistent data in applications

#Ubiquitous

#AIoT space

#Electric actuator | Device converting electrical energy into mechanical motion | Using electric motor to create movement or apply force

#Legged robot

#Multimodal access

#Electromyography (EMG)

#Spatial control

#Dexterity

#Bionics

#Exoskeleton

#Cogging torque

#Cobot

#Soft robot

#Pneumatic device

#Soft silicone

#Pneumatic channel

#Agentic workflow

#Learning Management System (LMS)

#Time To First Token (TTFT)

#Build simulation stack

#Close sim-to-real gap

#Building contact-rich physics simulation

#Scaling up reinforcement learning algorithms

#Drive AI model evaluation and iteration speed

#Build ML robotics simulation

#Work across AI stack

#Build data engine to log, clean, label data for foundation model training

#Pybullet

#IssacSim

#Mujoco

#Blender

#Maya

#GPU simulation

#NoSQL

#Python | Testing large codebases in Python

#Deep Learning Frameworks | Pytorc | TF | JAX

#Managing ML compute clusters

#Linear algebra

#Supervised machine learning

#Robot Opersting System | ROS | ROS2

#Open source LLM technology

#Simulating and validating robots, for multiple domains

#Extracting key sction points

#Skeletal data

#Scene

#Character assets

#Asset path

#Programming new action for subject

#Character primitive

#Re-rendering stage

#Spatial-temporal graph convolutional network (ST-GCN)

#3D skeleton data

#Action recognition

#Zero-shot inferencing

#Artificial General Intelligence (AGI) | AI capable of understanding, learning, and performing any intellectual task that a human can

#Core knowledge systems | Either innate or developed early on in humans and some non-human animals

#Objectness | Knowledge that world can be parsed into objects that have certain physical properties

#Numerosity | Knowledge of small quantities | Notions of smallest, argest, greater than, less than

#Basic geometry and topology | Knowledge of lines, simple shapes, symmetries, containment, and copying

#Agents and goals | Knowledge some entities are agents who have their own intentions and act to achieve goals

#Few-shot learning | Each task has only a few examples from which an abstract rule must be inferred

#Text-only language model

#Multimodal foundation model | Able to deal with both text and images

#Polymathic AI | Developing machine learning models integratung knowledge across various scientific disciplines | Training AI with diverse datasets | Providing open-source training datasets | Fostering collaboration among researchers | Creating foundation models to identify commonalities across disciplines

#Robot Teaching Method using Hand Gestures and Poses

#Programming robots by human demonstration

#Convolution Neural Network (CNN) to recognize gestures

#Robot motion primitives

#Managing primitives in robot system

#Behaviour-based programming platform

#Extensible Agent Behavior Specification Language (XABSL)

#Hand motion sequence

#Robot pick-and-place task

#Human-Robot interaction (HRI)

#Understanding human intention through human behaviours

#Hand gesture recognition system

#Training database

#Gesture modelling

#Task goal

#Behaviour-based robot system

#Gesture command

#Robot task sequence

#CNN-based gesture recognition system

#Multi-tasking scheduling to process images from cameras and robot encoders, and command robot to behave under proper conditions

#7 Degrees of Freedom (7-DOF) | Offers kinematic redundancy | Allows multiple joint configurations to achieve the same end-effector pose | Obstacle Avoidance: extra DOF helps avoid collisions with obstacles or the robot itself | Singularity Avoidance: minimizes gimbal lock and improves motion flexibility in constrained environments | Enhanced Manipulability: allows better control over speed, strength, and precision | Expanded Workspace: 7-DOF arm can operate effectively in more complex environments compared to 6-DOF systems

#California wildfire | Challenges | Access roads too steep for fire department equipment | Brush fires | Dangerously strong winds for fire fighting planes | Drone interfering with wildfire response hit plane | Dry conditions fueled fires | Dry vegetation primed to burn | Faults on the power grid | Fires fueled by hurricane-force winds | Fire hydrants gone dry | Fast moving flames | Hilly areas | Increasing fire size, frequency, and susceptibility to beetle outbreaks and drought driven mortality | Keeping native biodiversity | Looting | Low water pressure | Managing forests, woodlands, shrublands, and grasslands for broad ecological and societal benefits | Power shutoffs | Ramping up security in areas that have been evacuated | Recoving the remains of people killed | Retardant drop pointless due to heavy winds | Smoke filled canyons | Santa Ana winds | Time it takes for water-dropping helicopter to arrive | Tree limbs hitting electrical wires | Use of air tankers is costly and increasingly ineffective | Utilities sensor network outdated | Water supply systems not built for wildfires on large scale | Wire fault causes a spark | Wires hitting one another | Assets | California National Guard | Curfews | Evacuation bags | Firefighters | Firefighting helicopter | Fire maps | Evacuation zones | Feeding centers | Heavy-lift helicopter | LiDAR technology to create detailed 3D maps of high-risk areas | LAFD (Los Angeles Fire Department) | Los Angeles County Sheriff Department | Los Angeles County Medical Examiner | National Oceanic and Atmospheric Administration | Recycled water irrigation reservoirs | Satellites for wildfire detection | Sensor network of LAFD | Smoke forecast | Statistics | Beachfront properties destroyed | Death tol | Damage | Economic losses | Expansion of non-native, invasive species | Loss of native vegetation | Structures (home, multifamily residence, outbuilding, vehicle) damaged | California wildfire actions | Animals relocated | Financial recovery programs | Efforts toward wildfire resilience | Evacuation orders | Evacuation warnings | Helicopters dropped water on evacuation routes to help residents escape | Reevaluating wildfire risk management | Schools closed | Schools to be inspected and cleaned outside and in, and their filters must be changed

#Quadruped robot | Lour-legged robot | Mimic animal locomotion | Navigate rough, uneven, cluttered terrains | Climb stairs | Operate indoors or outdoors

#Cognitive AI

#Athletic AI