8 citations · 13 across the 9 of their papers we have counts for
5 papers · 1 filter
BOMP: Bin-Optimized Motion Planning
Zachary Tam, Karthik Dharmarajan, Tianshuang Qiu +3
In logistics, the ability to quickly compute and execute pick-and-place motions from bins is critical to increasing productivity. We present Bin-Optimized Motion Planning (BOMP), a…
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning
Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan +6
Scaling up robot learning requires large and diverse datasets, and how to efficiently reuse collected data and transfer policies to new embodiments remains an open question. Emergi…
ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity
Qinxi Yu, Masoud Moghani, Karthik Dharmarajan +8
Physics-based simulations have accelerated progress in robot learning for driving, manipulation, and locomotion. Yet, a fast, accurate, and robust surgical simulation environment r…
STITCH: Augmented Dexterity for Suture Throws Including Thread Coordination and Handoffs
Kush Hari, Hansoul Kim, Will Panitch +6
We present STITCH: an augmented dexterity pipeline that performs Suture Throws Including Thread Coordination and Handoffs. STITCH iteratively performs needle insertion, thread swee…
Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting
Lawrence Yunliang Chen, Kush Hari, Karthik Dharmarajan +3
The ability to reuse collected data and transfer trained policies between robots could alleviate the burden of additional data collection and training. While existing approaches su…