Robot Person
Robot person research focuses on creating robots capable of interacting naturally and effectively with humans, encompassing tasks from simple navigation to complex manipulation and social interaction. Current research emphasizes developing robust control algorithms (like Kalman filters and Model Predictive Control), integrating advanced perception models (including Vision-Language Models and sensor fusion), and improving human-robot interaction through multimodal communication and shared autonomy. This field is significant for advancing robotics capabilities in various sectors, including healthcare, manufacturing, and service industries, by enabling robots to perform tasks more safely, efficiently, and intuitively alongside humans.
Papers
Learning to See Physical Properties with Active Sensing Motor Policies
Gabriel B. Margolis, Xiang Fu, Yandong Ji, Pulkit Agrawal
GREEMA: Proposal and Experimental Verification of Growing Robot by Eating Environmental MAterial for Landslide Disaster
Yusuke Tsunoda, Yuya Sato, Koichi Osuka
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Annie S. Chen, Govind Chada, Laura Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn
Aplicacion de Robots Humanoides como Guias Interactivos en Museos: Una Simulacion con el Robot NAO
Hiago Sodre, Pablo Moraes, Monica Rodriguez, Victor Castelli, Pamela Barboza, Martin Mattos, Guillermo Vivas, Bruna de Vargas, Tobias Dörnbach, Ricardo Grando
Accurate Crop Spraying with RTK and Machine Learning on an Autonomous Field Robot
W. M. T. D. Wijesundara, T. D. Wanigathunga, M. N. C. Waas, R. T. Hithanadura, S. R. Munasinghe
Binary State Recognition by Robots using Visual Question Answering of Pre-Trained Vision-Language Model
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa, Kei Okada, Masayuki Inaba
Dobby: A Conversational Service Robot Driven by GPT-4
Carson Stark, Bohkyung Chun, Casey Charleston, Varsha Ravi, Luis Pabon, Surya Sunkari, Tarun Mohan, Peter Stone, Justin Hart
l-dyno: framework to learn consistent visual features using robot's motion
Kartikeya Singh, Charuvaran Adhivarahan, Karthik Dantu