AmishaBhaskar
@amishabhaskar
Building Bridges Between Humans & Robots - One Algorithm at a Time!⚡️| CS PhD @umdcs @umiacs
ID: 1095398128876892160
12-02-2019 19:04:00
94 Tweet
108 Followers
446 Following
#MarylandDay, 2025 It was so fun presenting our work from RAAS Lab on long-horizon robotic manipulation tasks & interactive mobile manipulator! Kids loved the Starburst giveaway by the robot — their excitement made our day🙌 @RuthwikDasyam AmishaBhaskar Anukriti Singh Pratap Tokekar
Our upcoming Robotics: Science and Systems paper by AmishaBhaskar Peihong Yu Anukriti Singh and Zahir Mahammad !
Researchers Univ. of Maryland, University of Glasgow, and Nokia Bell Labs in Cambridge are exploring a new way of tracking auditory attention using something millions of people already own: an ordinary pair of earbuds. Harshvardhan Takawale is leading the research. Learn more: umiacs.umd.edu/news-events/ne…
Thrilled to present Sketch-to-Skill at #RSS2025 🎉 📍 USC, Bovard Auditorium 🗓️ June 24 | 11:30am talk + 12:30pm poster Teach robots by drawing ✏️➡️🤖 w/ Peihong Yu, Anukriti Singh , Zahir Mahammad & Pratap Tokekar Paper: lnkd.in/eGmjke3h website:lnkd.in/eWEMsZ74
🤖 #AI & #robotics must be safe and reliable before entering everyday life. At Univ. of Maryland , Associate Professor Pratap Tokekar and the RAAS Lab are developing models to ensure adaptability, consistency, and trust in autonomous systems. Read more: go.umd.edu/Tokekar-9-2025
🗣️🔒Univ. of Maryland researchers developed #VoiceSecure, an AI-powered system that shields personal voice data from automated surveillance—keeping conversations clear to humans but unintelligible to machines. Read more: go.umd.edu/Roy10-2025
Honored to be featured by @umiacs_umd for showcasing my work in robot learning at the @Amazon Robotics Research Symposium in Boston! Grateful for my advisor Pratap Tokekar, collaborators & the UMD community for their support. 🔗 umiacs.umd.edu/news-events/ne…
Ph.D. student Amisha Bhaskar (AmishaBhaskar) was a top-10 finalist at the Amazon Science Robotics Fall Research Symposium, showcasing work on long-term planning, adaptability, data efficiency & multimodal sensing in real-world robot learning. Read more: go.umd.edu/246p
We expanded our best paper finalist DARS Symposium with a graph neural network based policy to restore connectivity in a team of robots facing adversarial conditions. Check it out!