activity
20182026
most citedA Multi-task Convolutional Neural Network for Autonomous Robotic Grasping in Object Stacking Scenes

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Skill-Conditioned Visual Geolocation for Vision-Language Models

Chenjie Yang, Yutian Jiang, Yutong Deng +1

Vision-language models (VLMs) have shown a promising ability in image geolocation, but they still lack structured geographic reasoning and the capacity for autonomous self-evolutio…

cs.AI2026

ActivityEditor: Learning to Synthesize Physically Valid Human Mobility

Chenjie Yang, Yutian Jiang, Anqi Liang +3

Human mobility modeling is indispensable for diverse urban applications. However, existing data-driven methods often suffer from data scarcity, limiting their applicability in regi…

cs.RO2026

RoboRouter: Training-Free Policy Routing for Robotic Manipulation

Yiteng Chen, Zhe Cao, Hongjia Ren +9

Research on robotic manipulation has developed a diverse set of policy paradigms, including vision-language-action (VLA) models, vision-action (VA) policies, and code-based composi…

cs.LG2025

Scaling Laws of Motion Forecasting and Planning -- Technical Report

Mustafa Baniodeh, Kratarth Goel, Scott Ettinger +14

We study the empirical scaling laws of a family of encoder-decoder autoregressive transformer models on the task of joint motion forecasting and planning in the autonomous driving…

cs.RO2018★ 6 cited

A Multi-task Convolutional Neural Network for Autonomous Robotic Grasping in Object Stacking Scenes

Hanbo Zhang, Xuguang Lan, Site Bai +3

Autonomous robotic grasping plays an important role in intelligent robotics. However, how to help the robot grasp specific objects in object stacking scenes is still an open proble…