Core Viewpoint - The RoboSense Challenge 2025 aims to systematically evaluate the perception and understanding capabilities of robots in real-world scenarios, addressing the challenges posed by traditional perception algorithms in complex environments [1]. Group 1: Event Overview - The challenge is organized by multiple prestigious institutions, including the National University of Singapore, Nanyang Technological University, and the University of Michigan, among others [4][5]. - It is officially recognized as a competition during the IROS 2025 conference, which will take place in Hangzhou, China [5]. Group 2: Challenge Objectives - The primary goal is to develop socially intelligent autonomous navigation robots that can navigate safely and efficiently in dynamic indoor environments without disrupting human activities [8][10]. - The challenge focuses on creating a perception and navigation system based on RGBD vision and odometry, requiring robots to operate without maps or privileged information [9]. Group 3: Challenge Difficulties - Key challenges include dynamic behavior modeling, social rule encoding, and uncertainty handling in unpredictable environments [12]. - Evaluation metrics will not only consider success rates and path efficiency but also social compliance indicators and collision statistics [12]. Group 4: Recommended Directions - Suggested approaches include using transformer-based social trajectory prediction modules, behavior classifiers for risk assessment, and graph neural networks for multi-target structural modeling [15].