3 citations · 4 across the 6 of their papers we have counts for
6 papers
A4A: Cross-Embodiment Transfer of Action-Oriented 4D Affordances from Human Demonstrations
Yifan Han, Litao Liu, Yuqi Gu +7
Human demonstrations contain rich manipulation knowledge, but it remains unclear what information can be transferred effectively to robot control. Existing affordance representatio…
BridgeACT: Bridging Human Demonstrations to Robot Actions via Unified Tool-Target Affordances
Yifan Han, Jianxiang Liu, Haoyu Zhang +3
Learning robot manipulation from human videos is appealing due to the scale and diversity of human demonstrations, but transferring such demonstrations to executable robot behavior…
Force Aware Branch Manipulation To Assist Agricultural Tasks
Madhav Rijal, Rashik Shrestha, Trevor Smith +1
This study presents a methodology to safely manipulate branches to aid various agricultural tasks. Humans in a real agricultural environment often manipulate branches to perform ag…
FloPE: Flower Pose Estimation for Precision Pollination
Rashik Shrestha, Madhav Rijal, Trevor Smith +1
This study presents Flower Pose Estimation (FloPE), a real-time flower pose estimation framework for computationally constrained robotic pollination systems. Robotic pollination ha…
Loopy Movements: Emergence of Rotation in a Multicellular Robot
Trevor Smith, Yu Gu
Unlike most human-engineered systems, many biological systems rely on emergent behaviors from low-level interactions, enabling greater diversity and superior adaptation to complex,…
Design of Stickbug: a Six-Armed Precision Pollination Robot
Trevor Smith, Madhav Rijal, Christopher Tatsch +6
This work presents the design of Stickbug, a six-armed, multi-agent, precision pollination robot that combines the accuracy of single-agent systems with swarm parallelization in gr…