Bio-inspired Robotic Emotions and Brain-like Systems Implementation
Explore the fascinating implementation of bio-inspired emotional states in robots through a mouse brain model, featuring dopamine, serotonin, and noradrenaline systems in real-time applications.
街角でのヒューマンロボットインタラクション - 2018年度工学部公開講座
探索ロボットと人間の相互作用について学び、位置検出技術から道案内サービスまで、街角でのロボット活用の実践的な知識を習得する講座。
街角でのヒューマンロボットインタラクション - 2018
探索ロボットと人間の相互作用について学び、位置検出技術から道案内まで、街角でのロボットサービスの実践的な応用と課題を理解する
Beyond Rules and Rewards: From Pixels to Adaptive Policies Through Imitation, Reinforcement, and Multimodal Learning
Explore advanced robotic learning methodologies, from imitation-based training to multimodal systems, focusing on adaptive policies and vision-language models for enhanced real-world robot interactions.
The Path to Autonomous Storage Systems - Challenges and Solutions
Discover breakthrough research in autonomous storage systems, exploring dynamic workload adaptation, efficiency optimization, and performance management for next-generation storage hierarchies.
Unleashing the Power of Quantum Computing - Theory and Practical Applications
Explore quantum computing fundamentals, algorithms, applications, and future prospects. Gain insights into hardware, software, and practical implementations of this revolutionary technology.
Player Piano - The World of ADW and ATP - DevOps 2024
Explore the world of ADW and ATP, autonomous databases, and their impact on DevOps. Gain insights into machine learning integration and future trends in database management.
The Rise of AI Agents - Understanding Trust and Expectations
Explore the emergence, functionality, and future implications of AI agents, focusing on trust, problem-solving capabilities, and their potential impact on individuals and society.
Generative Artificial Intelligence for Decision Making in Robotics
Explore generative AI's potential in robotics, leveraging video foundation models and internet-trained models to solve complex, long-horizon manipulation tasks efficiently.
Multi-Time Scale World Models
Explore multi-time scale world models for intelligent agents, focusing on probabilistic formalism, computational aspects, and action-conditional future predictions in complex environments.
Robots Learning Like Humans: Leveraging Human-Inspired Techniques in Machine Learning
Explore how robots can learn from human-like methods, including video observation, natural language instructions, and curiosity-driven exploration.
Learning In-the-Wild Sensor Simulation for Autonomous Driving
Explore cutting-edge sensor simulation techniques for autonomous driving. Learn to create digital twins, manipulate scenarios, and generate realistic multi-sensor simulations to enhance self-driving vehicle development.
Power in the Age of Artificial Intelligence - Global Security Implications
Explore the global impact of AI on power dynamics, focusing on the U.S.-China rivalry and the race for AI dominance. Gain insights from a former Pentagon official on the future of warfare and international relations.
Using Vector Databases to Scale Multimodal Embeddings, Retrieval and Generation
Explore scaling multimodal embeddings, retrieval, and generation using vector databases. Learn cross-modal search techniques and guide large language models with real-time retrieval.
Quantifying AI and What Comes Next - From Single Purpose to General Purpose
Explore the evolution of AI from single-purpose to general-purpose systems, drawing parallels with computing history and examining future implications through an entropic framework.
AI-Assisted Automated Chemical Synthesis Planning and Execution
Explore AI-driven chemical synthesis planning integrated with robotic automation, streamlining complex molecule production for drug development and materials science.
ORB-SLAM: Visual SLAM in Indoor, Outdoor, and Intracorporeal Scenes
Explore ORB-SLAM's evolution in Visual SLAM, from monocular to multi-map systems, including applications in medical endoscopy and advancements in camera and sensor integration.
Where's the Road? The Challenge of Autonomous Driving Perception in Winter
Explore challenges and advancements in autonomous driving during harsh Canadian winters, focusing on perception tasks and all-weather autonomy solutions.
Machine Learning for Space Exploration
Explore AI's role in revolutionizing space exploration, from autonomous robots to planetary science, and learn about challenges and applications in safety-critical systems.
Abstraction and Analogy in Natural and Artificial Intelligence
Explore the role of analogy-making in conceptual abstraction and understanding, and its importance for developing AI systems with humanlike intelligence.
Neural Mechanisms of Limb Proprioception and Motor Control in Drosophila
Explore neural mechanisms of limb proprioception and motor control in fruit flies. Discover how proprioceptor subtypes encode joint position and movement, and examine computational models predicting leg proprioceptor activity during walking.