Jing

My research focuses on robotics, particularly in navigation and perception.

[Jing @Jing53582]

This year:
🎤 Speakers from academia & industry
🧠 Foundation models, VLAs & emerging directions in social navigation
🤖 Live Robot Happy Hour
🏆 Awards & prizes for selected/finalist papers

📄 Short papers: 4–6 pages, IEEE format
📅 Notification: Sept. 21

[Jing @Jing53582]

🤖 Only a few weeks to go until the 5th Workshop on Social Robot Navigation at #IROS2026!

📢 Paper deadline extended to Sept. 15!

If you’re working on social navigation, HRI, embodied AI, robot learning, or related topics, we’d love to see your work!
🔗 https://t.co/LSFeQVFKKU

[Cherie Ho @hocherie1]

What can different navigation domains (e.g. offroad, AV, humanoid, aerial, quadruped, digital) learn from each other?

🎉 Excited to announce the Workshop on “Bridging Perspectives in Navigation” @ IROS 2026 (Pittsburgh, 9/27/2026).

Submit your paper by August 21! 👇

[GAMMA UMD @gammaumd]

📢 We are proud to share that one paper led by our PhD student Jing Liang @Jing53582 was accepted by #ISER2025!

MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding

Paper: https://t.co/i5En43AUob
Authors: Jing Liang @Jing53582, Kasun Weerakoon @kaweer_, Daeun Song, Senthurbavan Kirubaharan, Xuesu Xiao @XuesuXiao, and Dinesh Manocha @dmanocha

MOSU is a multimodal autonomous navigation system that enhances outdoor robot navigation by integrating geometric, semantic, and contextual cues, using GPS/QGIS for global planning and LiDAR, image segmentation, and vision-language models for socially aware, fine-grained local trajectory generation, achieving a 10% improvement in traversability on the GND benchmark.

[Jing @Jing53582]

📍 We’re going to present GND at ICRA 2025, Session [TuBT22] Learning for Navigation, on Tuesday.

We’d love to connect and hear your ideas!

#ICRA2025 #roboticscommunity #GND #navigation

[Jing @Jing53582]

Searching for a dataset to train robots for outdoor navigation?

We introduce GND, built for long-range navigation of mobile robots in complex outdoor environments.
🔗https://t.co/rdOqYkSSd1

#ICRA2025 #robotics #dataset

[Jing @Jing53582]

What can you do with GND?
🔗https://t.co/PEyC1srAvo

We ran 3 experiments to showcase its potential:
1⃣Local-to-global correlation for map-based planning
2⃣Place recognition using 360° RGB images
3⃣Learning-based mapless planning with trajectory generation