5 citations · 13 across the 40 of their papers we have counts for
15 papers · 1 filter
From Building Blocks to Planning: Multi-Step Spatial Reasoning in LLMs with Reinforcement Learning
Amir Tahmasbi, Sadegh Majidi, Kazem Taram +1
Spatial reasoning in large language models (LLMs) has gained increasing attention due to applications in navigation and planning. Despite strong general language capabilities, LLMs…
TransLocNet: Cross-Modal Attention for Aerial-Ground Vehicle Localization with Contrastive Learning
Phu Pham, Damon Conover, Aniket Bera
Aerial-ground localization is difficult due to large viewpoint and modality gaps between ground-level LiDAR and overhead imagery. We propose TransLocNet, a cross-modal attention fr…
HAVEN: Hierarchical Adversary-aware Visibility-Enabled Navigation with Cover Utilization using Deep Transformer Q-Networks
Mihir Chauhan, Damon Conover, Aniket Bera
Autonomous navigation in partially observable environments requires agents to reason beyond immediate sensor input, exploit occlusion, and ensure safety while progressing toward a…
Game-Master LLMs for Task-Based Role-Play: Supporting the Acquisition of Idiomatic Language in L2 Learning
Amir Tahmasbi, Milad Esrafilian, Judson Wright +2
Natural and idiomatic expressions are essential for fluent, everyday communication, yet many second-language learners struggle to acquire and spontaneously use casual slang despite…
VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models
Manav Kulshrestha, S. Talha Bukhari, Damon Conover +1
Robotic grasping is a fundamental capability for enabling autonomous manipulation, with usually infinite solutions. State-of-the-art approaches for grasping rely on learning from l…
Logic-Guided Socially-aware Robot Navigation World Model
Weizheng Wang, Obi Ike, Soyun Choi +3
Social robot navigation increasingly relies on large language models for reasoning, path planning, and enabling movement in dynamic human spaces. However, relying solely on LLMs fo…
Unified Multi-Modal Interactive & Reactive 3D Motion Generation via Rectified Flow
Prerit Gupta, Shourya Verma, Ananth Grama +1
Generating realistic, context-aware two-person motion conditioned on diverse modalities remains a fundamental challenge for graphics, animation and embodied AI systems. Real-world…
MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation
Prerit Gupta, Jason Alexander Fotso-Puepi, Zhengyuan Li +2
We introduce Multimodal DuetDance (MDD), a diverse multimodal benchmark dataset designed for text-controlled and music-conditioned 3D duet dance motion generation. Our dataset comp…
Variational Shape Inference for Grasp Diffusion on SE(3)
S. Talha Bukhari, Kaivalya Agrawal, Zachary Kingston +1
Grasp synthesis is a fundamental task in robotic manipulation which usually has multiple feasible solutions. Multimodal grasp synthesis seeks to generate diverse sets of stable gra…
Handle-based Mesh Deformation Guided By Vision Language Model
Xingpeng Sun, Shiyang Jia, Zherong Pan +2
Mesh deformation is a fundamental tool in 3D content manipulation. Despite extensive prior research, existing approaches often suffer from low output quality, require significant m…
Language-Guided Generation for Personalized Inspection Planning
Xingpeng Sun, Zherong Pan, Xifeng Gao +2
We propose a training-free, Vision-Language Model (VLM)-guided approach for efficiently generating trajectories to facilitate target inspection planning based on text descriptions.…
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Lu Ling, Chen-Hsuan Lin, Tsung-Yi Lin +7
Synthesizing interactive 3D scenes from text is essential for gaming, virtual reality, and embodied AI. However, existing methods face several challenges. Learning-based approaches…
HessianForge: Scalable LiDAR reconstruction with Physics-Informed Neural Representation and Smoothness Energy Constraints
Hrishikesh Viswanath, Md Ashiqur Rahman, Chi Lin +2
Accurate and efficient 3D mapping of large-scale outdoor environments from LiDAR measurements is a fundamental challenge in robotics, particularly towards ensuring smooth and artif…
VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning
Archit Kambhamettu, Samantha Snyder, Maliheh Fakhar +4
Understanding internal joint loading is critical for diagnosing gait-related diseases such as knee osteoarthritis; however, current methods of measuring joint risk factors are time…
Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications
Joe Eappen, Zikang Xiong, Dipam Patel +2
Existing methods for safe multi-agent control using logic specifications like Signal Temporal Logic (STL) often face scalability issues. This is because they rely either on single-…