Blockchain technology could provide secure communications for robot teams
The transaction-based communications system ensures robot teams achieve their goal even if some robots are hacked.
Making self-driving cars safer through keener robot perception
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
System trains drones to fly around obstacles at high speeds
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue.
Sertac Karaman named director of the Laboratory for Information and Decision Systems
Associate professor of aeronautics and astronautics will head MIT’s longest continuously-running lab.
Designing exploratory robots that collect data for marine scientists
“This is a really exciting time to be a roboticist who also cares about the environment,” says PhD student Victoria Preston.
The new wave of robotic automation
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration.
Creating “digital twins” at scale
Model could help predictive virtual models become standard practice in engineering.
Evaluating the competition between autonomous vehicles and public transit
SMART study determines benefits of competition and potential impact for future urban cities and transport systems.
Accelerating AI at the speed of light
Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
Helping robots collaborate to get the job done
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
Media Advisory — MIT researchers: AI policy needed to manage impacts, build more equitable systems
On May 6 and 7, researchers from the AI Policy Forum will present their preliminary AI public policy proposals aimed at shaping specific and significant uses of AI in our lives.
Algorithm helps artificial intelligence systems dodge “adversarial” inputs
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Driving on the cutting edge of autonomous vehicle tech
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Examining the world through signals and systems
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.
An underwater navigation system powered by sound
New approach could spark an era of battery-free ocean exploration, with applications ranging from marine conservation to aquaculture.