Mobile Robot
Mobile robots are autonomous systems designed to navigate and interact with their environment, with research focusing on improving their perception, navigation, and manipulation capabilities. Current efforts concentrate on enhancing robustness through sensor fusion (e.g., combining radar and vision data), efficient motion planning guided by natural language instructions or reinforcement learning, and reliable localization using techniques like visual odometry and polygon-based mapping. These advancements are crucial for expanding the applications of mobile robots in diverse fields, including manufacturing, logistics, healthcare, and exploration, by enabling safer, more efficient, and adaptable operation in complex and dynamic settings.
Papers
ReloPush: Multi-object Rearrangement in Confined Spaces with a Nonholonomic Mobile Robot Pusher
Jeeho Ahn, Christoforos Mavrogiannis
Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot
Justin Yu, Kush Hari, Kishore Srinivas, Karim El-Refai, Adam Rashid, Chung Min Kim, Justin Kerr, Richard Cheng, Muhammad Zubair Irshad, Ashwin Balakrishna, Thomas Kollar, Ken Goldberg
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa, Kei Okada, Masayuki Inaba
Autonomous Exploration and Semantic Updating of Large-Scale Indoor Environments with Mobile Robots
Sai Haneesh Allu, Itay Kadosh, Tyler Summers, Yu Xiang
A novel agent with formal goal-reaching guarantees: an experimental study with a mobile robot
Grigory Yaremenko, Dmitrii Dobriborsci, Roman Zashchitin, Ruben Contreras Maestre, Ngoc Quoc Huy Hoang, Pavel Osinenko
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Based on Lightweight and Compact Polygon Maps
Haiming Gao, Qibo Qiu, Hongyan Liu, Dingkun Liang, Chaoqun Wang, Xuebo Zhang
VertiEncoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain
Mohammad Nazeri, Aniket Datar, Anuj Pokhrel, Chenhui Pan, Garrett Warnell, Xuesu Xiao
UniLCD: Unified Local-Cloud Decision-Making via Reinforcement Learning
Kathakoli Sengupta, Zhongkai Shagguan, Sandesh Bharadwaj, Sanjay Arora, Eshed Ohn-Bar, Renato Mancuso
Real-time Robotics Situation Awareness for Accident Prevention in Industry
Juan M. Deniz, Andre S. Kelboucas, Ricardo Bedin Grando
Fuzzy Logic Control for Indoor Navigation of Mobile Robots
Akshay Kumar, Ashwin Sahasrabudhe, Sanjuksha Nirgude
Occlusion-Based Cooperative Transport for Concave Objects with a Swarm of Miniature Mobile Robots
Sanjuksha Nirgude, Animesh Nema, Aishwary Jagetia