18 citations · 29 across the 8 of their papers we have counts for
8 papers
Cascaded Diffusion Models for Neural Motion Planning
Mohit Sharma, Adam Fishman, Vikash Kumar +2
Robots in the real world need to perceive and move to goals in complex environments without collisions. Avoiding collisions is especially difficult when relying on sensor perceptio…
Learning to Build by Building Your Own Instructions
Aaron Walsman, Muru Zhang, Adam Fishman +2
Structural understanding of complex visual objects is an important unsolved component of artificial intelligence. To study this, we develop a new technique for the recently propose…
cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation
Balakumar Sundaralingam, Siva Kumar Sastry Hari, Adam Fishman +9
This paper explores the problem of collision-free motion generation for manipulators by formulating it as a global motion optimization problem. We develop a parallel optimization t…
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner +2
We address the important problem of generalizing robotic rearrangement to clutter without any explicit object models. We first generate over 650K cluttered scenes - orders of magni…
Motion Policy Networks
Adam Fishman, Adithyavairan Murali, Clemens Eppner +3
Collision-free motion generation in unknown environments is a core building block for robot manipulation. Generating such motions is challenging due to multiple objectives; not onl…
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian +3
Zero-shot execution of unseen robotic tasks is important to allowing robots to perform a wide variety of tasks in human environments, but collecting the amounts of data necessary t…
Stein Variational Model Predictive Control
Alexander Lambert, Adam Fishman, Dieter Fox +2
Decision making under uncertainty is critical to real-world, autonomous systems. Model Predictive Control (MPC) methods have demonstrated favorable performance in practice, but rem…
Collaborative Behavior Models for Optimized Human-Robot Teamwork
Adam Fishman, Chris Paxton, Wei Yang +3
Effective human-robot collaboration requires informed anticipation. The robot must anticipate the human's actions, but also react quickly and intuitively when its predictions are w…