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(59 results)All Robots
59 robots found
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Embedded AI with voice commands, computer vision, adaptive learning through interaction
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Specialized AI with real-time learning, natural speech communication, embedded cameras for environmental perception
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1X internal language model, vision system for object manipulation, conversational AI with body language
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Proprietary WorkGPT multimodal AI system, with 200+ TOPS, fusion of vision, touch and LIDAR, autonomous learning, and safe collaboration in dynamic settings.
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WorkGPT multimodal AI with NLP, visual perception, ActionGPT for naturalistic motion, HIMUS 3D-SLAM & VectorFlux navigation, advanced safety with Lidar and multi-cam system.
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NVIDIA Orin-based AI platform, GR00T software, stereo vision, force control for safe HRC, intuitive LED and display communication, multi-modal input
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Force-torque sensing, open-access control, safe HRC, ROS and real-time Linux compatibility
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Advanced imitation learning AI, precise motion repeatability (0.03mm), autonomous navigation and sensory adaptation
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Edge LLM and adaptive AI learning with on-device reinforcement and imitation learning, 200 TOPS onboard AI, ROS2 compatibility, real-time multimodal interaction.
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Advanced AI with reinforcement learning, real-time whole-body motion planning, computer vision, state estimation, and integration with Boston Dynamics Orbit fleet management software
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Custom control algorithms, whole-body motion planning, LIDAR and stereo vision perception, three onboard computers for control, perception, and estimation
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Orbit fleet management software with AI-powered visual anomaly detection, autonomous navigation with SLAM, real-time obstacle avoidance, and computer vision for inspection tasks
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End-to-end AI model with 550 TOPS computing power, multi-sensor fusion for visual and auditory interaction, self-developed high-efficiency joint system, and adaptive task learning
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NVIDIA Jetson Thor with specialized Cybernet visuomotor model, proprioceptive feedback system with 70 inertial sensors and 320 pressure sensors, four depth cameras for environmental perception
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NVIDIA Jetson Thor with specialized Cybernet visuomotor model, real-time learning through visual observation, comprehensive sensor network with 70 inertial sensors and 320 pressure sensors, four depth cameras for environmental perception
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AI-powered autonomous learning system with big data training, fusion perception combining sensory and environmental data, real-time adaptive control algorithms for balance and navigation
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Human-guided learning system with social intelligence, autonomous navigation with obstacle avoidance, predictive task scheduling integrated with hospital EHR systems, and adaptive workflow optimization
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End-to-end neural network with multi-sensor fusion, Intel RealSense D435 depth camera, 360-degree LiDAR, six HD cameras for 3D perception, dual processor architecture with NVIDIA GPU and Intel CPU
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End-to-end neural network with dual-chip architecture (Intel N97 + NVIDIA Jetson Orin), Intel RealSense depth camera, advanced optical motion capture, 3D perception and obstacle avoidance
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Tritium software platform, OpenAI GPT-3/GPT-4 integration, facial recognition, room-scale tracking, automated gestures and expressions, telepresence capabilities with facial motion capture
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OpenAI GPT integration with vision-language model, end-to-end neural networks for continuous learning, visuomotor transformers for environmental interpretation, custom AI models for conversational interaction
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Custom AI models developed with OpenAI, onboard Vision-Language Model (VLM) for visual reasoning, speech-to-speech interaction with natural language processing, triple the AI inference capabilities of predecessor
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Dual-model architecture: 7B parameter System 2 (high-level reasoning) + 80M parameter System 1 (low-level control), end-to-end trained VLA model, stereo vision processing, self-calibration capabilities, zero-shot multi-robot coordination
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ChatGPT-like multimodal language model with natural language processing, pure vision solution using BEV and Transformer networks, real-time 3D occupancy grid generation, advanced semantic knowledge and logical reasoning
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8-core Intel Core i7 processor with optional high-performance computing achieving 275 TOPS, Ubuntu 20.04 OS, NVIDIA Isaac Lab, ROS, and Mujoco framework support, multimodal sensing with stereo cameras and 6-axis IMU
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Proprietary Full-Perception Multimodal Interaction System integrating vision, audio, and tactile feedback with real-time emotional processing engine, advanced attention management system, natural dialogue capabilities with LLM integration
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End-to-end AI, leveraging camera-only input.
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Cognitive AI platform for perception, action, and learning.
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Multi-sensor fusion system with 360-degree spatial awareness, real-time motion control, and vision recognition
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Carbon AI control system.
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Shared AI stack with Tesla vehicles (FSD computer, neural networks for navigation and object recognition).
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Onboard AI for recognition and tracking.
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Onboard AI for recognition and tracking.
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AI vision system with autonomous obstacle avoidance, 3D LiDAR perception, and octa-core processing
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Mi-Sense vision system, MiAI environment semantics recognition.
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