Non Humanoid Robot
Non-humanoid robots encompass a diverse range of designs, from multi-legged robots inspired by insects to wheeled and even flapping-wing robots, all aiming to achieve efficient and adaptable locomotion and manipulation in various environments. Current research emphasizes improving robot autonomy through reinforcement learning, particularly for gait generation and task planning, often incorporating large language models (LLMs) for natural language instruction processing and human-robot interaction. These advancements are significant for expanding robotic capabilities in challenging tasks such as cooking, search and rescue, and collaborative assembly, ultimately impacting fields ranging from manufacturing and healthcare to exploration and disaster response.
Papers
Bringing Robots Home: The Rise of AI Robots in Consumer Electronics
Haiwei Dong, Yang Liu, Ted Chu, Abdulmotaleb El Saddik
Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots
Kevin Leahy, Ho Chit Siu
Human Reactions to Incorrect Answers from Robots
Ponkoj Chandra Shill, Md. Azizul Hakim, Muhammad Jahanzeb Khan, Bashira Akter Anima
"It's Not a Replacement:" Enabling Parent-Robot Collaboration to Support In-Home Learning Experiences of Young Children
Hui-Ru Ho, Edward Hubbard, Bilge Mutlu
Goal-Oriented End-User Programming of Robots
David Porfirio, Mark Roberts, Laura M. Hiatt
Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways
Lakshay Sharma, Jonathan P. How
LAP, Using Action Feasibility for Improved Uncertainty Alignment of Large Language Model Planners
James F. Mullen Jr., Dinesh Manocha
Digital Twin-Driven Reinforcement Learning for Obstacle Avoidance in Robot Manipulators: A Self-Improving Online Training Framework
Yuzhu Sun, Mien Van, Stephen McIlvanna, Nguyen Minh Nhat, Kabirat Olayemi, Jack Close, Seán McLoone
What AIs are not Learning (and Why): Bio-Inspired Foundation Models for Robots
Mark Stefik
BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs
Riccardo Andrea Izzo, Gianluca Bardaro, Matteo Matteucci
Zutu: A Platform for Localization and Navigation of Swarm Robots Using Virtual Grids
Prateek, Pawan Wadhwani, Reshesh Kumar Pathak, Mayur Bhosale, Dr. A Helen Victoria
Learning-Based Wiping Behavior of Low-Rigidity Robots Considering Various Surface Materials and Task Definitions
Kento Kawaharazuka, Naoaki Kanazawa, Kei Okada, Masayuki Inaba
Development of control algorithms for mobile robotics focused on their potential use for FPGA-based robots
Andrés-David Suárez-Gómez, Andres A. Hernandez Ortega
Enabling Waypoint Generation for Collaborative Robots using LLMs and Mixed Reality
Cathy Mengying Fang, Krzysztof Zieliński, Pattie Maes, Joe Paradiso, Bruce Blumberg, Mikkel Baun Kjærgaard
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei