MIT’s AI Robotics Lab Director Is Building People-Centered Robots
Daniela Rus has spent her career breaking barriers—scientific, social, and material—in her quest to build machines that amplify rather than replace human capability. She made robotics her life’s work, she says, because she understood it was a way to expand the possibilities of computing while enhancing human capabilities.“I like to think of robotics as a…
Guest Editorial: Special Issue on Automation and Artificial Intelligence (AI) in Construction and Building
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Vision-Based Autonomous Robotic Arc Welding: State-of-the-Art Review and Perspectives
Robotic welding is an essential technology in industrial production. Various sensors are integrated into robotic welding systems to enhance welding efficiency and quality. Due to their advantages of non-contact measurement, high information capacity, and high accuracy, vision sensors play an increasingly important role in robotic autonomous welding. Therefore, the latest vision-based autonomous robotic arc welding…
Adaptive Excavation Automation in Complex Soil Environments Using Reinforcement Learning
This paper presents an advanced excavation automation framework that improves trajectory efficiency and improves operational stability in diverse and complex soil conditions. The framework integrates the fundamental equation of earthmoving (FEE) with the proximal policy optimization (PPO) algorithm to enable adaptive trajectory planning during excavation. Using these estimates, the PPO algorithm iteratively optimizes excavation strategies…
Video Friday: A Soft Robot Companion
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.ACTUATE 2025: 23–24 September 2025, SAN FRANCISCOCoRL 2025: 27–30 September 2025, SEOULIEEE Humanoids: 30 September–2 October…
How Robotics Is Powering the Future of Innovation
The future of robotics is being shaped by powerful technologies like AI, edge computing, and high-speed connectivity, driving smarter, more responsive machines across industries. Robots are no longer confined to static environments—they are evolving to interact dynamically with humans and their surroundings.This eBook explores the impact of robotics in diverse fields, from home automation and…
Video Friday: Robot Vacuum Climbs Stairs
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.ACTUATE 2025: 23–24 September 2025, SAN FRANCISCOCoRL 2025: 27–30 September 2025, SEOULIEEE Humanoids: 30 September–2 October…
Video Friday: Dance With CHILD
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.RO-MAN 2025: 25–29 August 2025, EINDHOVEN, NETHERLANDSCLAWAR 2025: 5–7 September 2025, SHENZHEN, CHINAACTUATE 2025: 23–24 September…
DexSim2Real$^{mathbf{2}}$: Building Explicit World Model for Precise Articulated Object Dexterous Manipulation
Articulated objects are ubiquitous in daily life. In this article, we present DexSim2Real$^{mathbf{2}}$, a novel framework for goal-conditioned articulated object manipulation. The core of our framework is constructing an explicit world model of unseen articulated objects through active interactions, which enables sampling-based model-predictive control to plan trajectories achieving different goals without requiring demonstrations or reinforcement…
DexSim2Real$^{mathbf{2}}$: Building Explicit World Model for Precise Articulated Object Dexterous Manipulation
Articulated objects are ubiquitous in daily life. In this article, we present DexSim2Real$^{mathbf{2}}$, a novel framework for goal-conditioned articulated object manipulation. The core of our framework is constructing an explicit world model of unseen articulated objects through active interactions, which enables sampling-based model-predictive control to plan trajectories achieving different goals without requiring demonstrations or reinforcement…