Mingyu Ding
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Robotics×1AI×1
Frequent co-authors
Research Timeline
2026
TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies
TempoVLA is a novel Vision-Language-Action model that enables controllable execution speed for robot manipulation by explicitly conditioning the policy on the desired speed.
Highlighted terms show continued research focus across papers
Papers
cs.ROcs.AIRecentJun 4, 2026
TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies
Dong Jing, Jingchen Nie, Tianqi Zhang, Jiaqi Liu +3 more
TempoVLA is a novel Vision-Language-Action model that enables controllable execution speed for robot manipulation by explicitly conditioning the policy on the desired speed.
View →